{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/davidbarker/Google Drive/Research/Facts and Premises/Premises BJPOLS Dataverse Study 1 2014 data 7 2020.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 8 Jul 2020, 07:06:00

{com}. do "/Users/davidbarker/Google Drive/Research/Facts and Premises/Premises BJPOLS Dataverse Study 1 2014  7 2020.do"
{txt}
{com}. * stata version 15
. 
. * Study I: the 2014 analysis
. 
. use "/Users/davidbarker/Google Drive/Research/Facts and Premises/premises BJPOLS 2014 harvard dataverse.dta"
{txt}
{com}. 
. * First, we use factor analysis to create the outcome variables, the first of which is an overall policy ideology measure comprised of 16 items.
. * Here are the 16 items and their alpha:
. tab1 CC14_320e CC14_322_1 CC14_322_4 CC14_323_4 CC14_324_2 CC14_327 CC14_328 UML501_2 UML501_4 UML501_7 UML501_9 UML501_11 UML501_12 UML501_14 P005 iraqnotmistake

{res}-> tabulation of CC14_320e  

{txt}Gun Control {c |}
- Easier to {c |}
get conceal {c |}
      carry {c |}
     permit {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        For {c |}{res}        394       39.60       39.60
{txt}    Against {c |}{res}        601       60.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        995      100.00

-> tabulation of CC14_322_1  

{txt}Immigration {c |}
    - Grant {c |}
      legal {c |}
  status to {c |}
all illegal {c |}
 immigrants {c |}
  with jobs {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}        463       46.30       46.30
{txt}         No {c |}{res}        537       53.70      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,000      100.00

-> tabulation of CC14_322_4  

{txt}Immigration {c |}
  - Fine US {c |}
 businesses {c |}
  that hire {c |}
    illegal {c |}
immigrants. {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}        601       60.10       60.10
{txt}         No {c |}{res}        399       39.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,000      100.00

-> tabulation of CC14_323_4  

   {txt}Abortion {c |}
 Policies - {c |}
      Allow {c |}
  employers {c |}
 to decline {c |}
coverage of {c |}
  abortions {c |}
in insuranc {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        For {c |}{res}        445       44.81       44.81
{txt}    Against {c |}{res}        548       55.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        993      100.00

-> tabulation of CC14_324_2  

 {txt}Affordable {c |}
 Care Act - {c |}
   Vote for {c |}
  ACA if in {c |}
Congresstod {c |}
         ay {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}        517       52.06       52.06
{txt}         No {c |}{res}        476       47.94      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        993      100.00

-> tabulation of CC14_327  

        {txt}Gay {c |}
   Marriage {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Favor {c |}{res}        615       61.69       61.69
{txt}     Oppose {c |}{res}        382       38.31      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        997      100.00

-> tabulation of CC14_328  

     {txt}Affirmative {c |}
          Action {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
Strongly support {c |}{res}        151       15.13       15.13
{txt}Somewhat support {c |}{res}        260       26.05       41.18
{txt} Somewhat oppose {c |}{res}        241       24.15       65.33
{txt} Strongly oppose {c |}{res}        346       34.67      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}        998      100.00

-> tabulation of UML501_2  

         {txt}Priorities - {c |}
    Defending country {c |}
       from terrorist {c |}
              attacks {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        748       75.94       75.94
{txt}       Lower priority {c |}{res}        211       21.42       97.36
{txt}Not a priority at all {c |}{res}         26        2.64      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        985      100.00

-> tabulation of UML501_4  

         {txt}Priorities - {c |}
Improving educational {c |}
               system {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        702       71.20       71.20
{txt}       Lower priority {c |}{res}        218       22.11       93.31
{txt}Not a priority at all {c |}{res}         66        6.69      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        986      100.00

-> tabulation of UML501_7  

 {txt}Priorities - Helping {c |}
         needy people {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        552       55.98       55.98
{txt}       Lower priority {c |}{res}        373       37.83       93.81
{txt}Not a priority at all {c |}{res}         61        6.19      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        986      100.00

-> tabulation of UML501_9  

         {txt}Priorities - {c |}
           Increasing {c |}
    opportunities for {c |}
           minorities {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        275       27.86       27.86
{txt}       Lower priority {c |}{res}        420       42.55       70.42
{txt}Not a priority at all {c |}{res}        292       29.58      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        987      100.00

-> tabulation of UML501_11  

         {txt}Priorities - {c |}
           Protecting {c |}
          environment {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        488       49.54       49.54
{txt}       Lower priority {c |}{res}        382       38.78       88.32
{txt}Not a priority at all {c |}{res}        115       11.68      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        985      100.00

-> tabulation of UML501_12  

         {txt}Priorities - {c |}
        Strengthening {c |}
             military {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        474       48.32       48.32
{txt}       Lower priority {c |}{res}        367       37.41       85.73
{txt}Not a priority at all {c |}{res}        140       14.27      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        981      100.00

-> tabulation of UML501_14  

 {txt}Priorities - Dealing {c |}
  with global warming {c |}      Freq.     Percent        Cum.
{hline 22}{c +}{hline 35}
         Top priority {c |}{res}        399       40.63       40.63
{txt}       Lower priority {c |}{res}        333       33.91       74.54
{txt}Not a priority at all {c |}{res}        250       25.46      100.00
{txt}{hline 22}{c +}{hline 35}
                Total {c |}{res}        982      100.00

-> tabulation of P005  

 {txt}Opinion on the {c |}
federal minimum {c |}
           wage {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
 Strongly Favor {c |}{res}        383       44.38       44.38
{txt} Somewhat Favor {c |}{res}        249       28.85       73.23
{txt}Somewhat Oppose {c |}{res}        113       13.09       86.33
{txt}Strongly Oppose {c |}{res}        118       13.67      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}        863      100.00

-> tabulation of iraqnotmistake  

{txt}iraqnotmist {c |}
        ake {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        491       49.15       49.15
{txt}         .5 {c |}{res}        180       18.02       67.17
{txt}          1 {c |}{res}        328       32.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        999      100.00
{txt}
{com}.  alpha CC14_320e CC14_322_1 CC14_322_4 CC14_323_4 CC14_324_2 CC14_327 CC14_328 UML501_2 UML501_4 UML501_7 UML501_9 UML501_11 UML501_12 UML501_14 P005 iraqnotmistake

{txt}Test scale = mean(unstandardized items)
Reversed items: {res: CC14_320e CC14_322_4 CC14_323_4 CC14_324_2 UML501_2 UML501_12}

Average interitem covariance:{col 34}{res} .1253254
{txt}Number of items in the scale:{col 34}{res}       16
{txt}Scale reliability coefficient:{col 34}{res}   0.8645
{txt}
{com}. * here is the factor analysis:
. factor  CC14_320e CC14_322_1 CC14_322_4 CC14_323_4 CC14_324_2 CC14_327 CC14_328 UML501_2 UML501_4 UML501_7 UML501_9 UML501_11 UML501_12 UML501_14 P005 iraqnotmistake, ml factors (1)
{txt}(obs=813)
Iteration 0:   log likelihood = {res}-611.98761
{txt}Iteration 1:   log likelihood = {res}-532.17201
{txt}Iteration 2:   log likelihood = {res}-532.05503
{txt}Iteration 3:   log likelihood = {res}-532.05043
{txt}Iteration 4:   log likelihood = {res}-532.05016
{txt}Iteration 5:   log likelihood = {res}-532.05014

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       813
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}      16
{col 50}{txt}Schwarz's BIC    =   {res} 1171.31
{col 5}{txt}Log likelihood = {res}-532.0501{col 50}{txt}(Akaike's) AIC   =   {res}  1096.1

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      5.11397            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated: chi2({res}120{txt}) ={res} 4543.65{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}LR test: {res}   1{txt} factor vs. saturated: chi2({res}104{txt}) ={res} 1055.16{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:CC14_320e}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4974}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7526}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_322_1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5466}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7012}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_322_4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.2656}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9295}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_323_4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5483}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6994}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_324_2}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.6325}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6000}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_327}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4829}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7668}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_328}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6420}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5878}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_2}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.1993}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9603}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5247}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7247}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6267}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6073}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_9}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6128}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6245}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_11}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7277}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4705}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_12}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.3842}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.8524}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8090}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3455}}}{space 1}
{space 4}{space 0}{ralign 12:P005}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6830}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5335}}}{space 1}
{space 4}{space 0}{ralign 12:iraqnotmis~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5195}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7301}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. * now for the economic ideology factor:
. alpha P005 UML501_7 UML501_4 CC14_324_2 UML501_11 UML501_14

{txt}Test scale = mean(unstandardized items)
Reversed item: {res: CC14_324_2}

Average interitem covariance:{col 34}{res} .2256375
{txt}Number of items in the scale:{col 34}{res}        6
{txt}Scale reliability coefficient:{col 34}{res}   0.8198
{txt}
{com}. factor P005 UML501_7 UML501_4 CC14_324_2 UML501_11 UML501_14, ml factors (1)
{txt}(obs=834)
Iteration 0:   log likelihood = {res}-74.561616
{txt}Iteration 1:   log likelihood = {res}-54.192187
{txt}Iteration 2:   log likelihood = {res}-53.452701
{txt}Iteration 3:   log likelihood = {res} -53.40998
{txt}Iteration 4:   log likelihood = {res}  -53.4076
{txt}Iteration 5:   log likelihood = {res}-53.407466
{txt}Iteration 6:   log likelihood = {res}-53.407458

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       834
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       6
{col 50}{txt}Schwarz's BIC    =   {res} 147.172
{col 5}{txt}Log likelihood = {res}-53.40746{col 50}{txt}(Akaike's) AIC   =   {res} 118.815

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.77108            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 1817.43{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}LR test: {res}   1{txt} factor vs. saturated:  chi2({res}9{txt})  ={res}  106.37{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:P005}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6248}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6097}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_7}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6204}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6151}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_4}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5434}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7047}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_324_2}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5361}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7126}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_11}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8105}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3431}}}{space 1}
{space 4}{space 0}{ralign 12:UML501_14}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8696}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2436}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. * now for the cultural ideology factor
. alpha CC14_327 CC14_328 CC14_323_4 CC14_322_1 CC14_320e

{txt}Test scale = mean(unstandardized items)
Reversed items: {res: CC14_323_4 CC14_320e}

Average interitem covariance:{col 34}{res} .1093185
{txt}Number of items in the scale:{col 34}{res}        5
{txt}Scale reliability coefficient:{col 34}{res}   0.6316
{txt}
{com}. factor CC14_327 CC14_328 CC14_323_4 CC14_322_1 CC14_320e, ml factors (1)
{txt}(obs=984)
Iteration 0:   log likelihood = {res}-40.877507
{txt}Iteration 1:   log likelihood = {res} -26.04179
{txt}Iteration 2:   log likelihood = {res} -26.02205
{txt}Iteration 3:   log likelihood = {res}-26.021188
{txt}Iteration 4:   log likelihood = {res}-26.021149

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       984
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       5
{col 50}{txt}Schwarz's BIC    =   {res} 86.5004
{col 5}{txt}Log likelihood = {res}-26.02115{col 50}{txt}(Akaike's) AIC   =   {res} 62.0423

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.51479            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}10{txt}) ={res}  690.68{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}LR test: {res}   1{txt} factor vs. saturated:  chi2({res}5{txt})  ={res}   51.87{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:CC14_327}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5122}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7377}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_328}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5997}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6403}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_323_4}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.5602}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6862}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_322_1}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5795}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6642}}}{space 1}
{space 4}{space 0}{ralign 12:CC14_320e}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4931}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7569}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. * now the security ideology factor
. alpha iraqnotmistake UML501_2 UML501_12

{txt}Test scale = mean(unstandardized items)
Reversed item: {res: iraqnotmistake}

Average interitem covariance:{col 34}{res} .1241361
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.6572
{txt}
{com}. * now we create the factor scores for each premise.  First, the one for whether human nature is benevolent or selfish
. alpha P113 P114 P116 

{txt}Test scale = mean(unstandardized items)
Reversed item: {res: P113}

Average interitem covariance:{col 34}{res} .2483317
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.6229
{txt}
{com}. factor P113 P114 P116, ml factors (1)
{txt}(obs=844)
Iteration 0:   log likelihood = {res}-24.551422
{txt}Iteration 1:   log likelihood = {res}-.00558387
{txt}Iteration 2:   log likelihood = {res}-6.639e-09

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       844
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3
{col 50}{txt}Schwarz's BIC    =   {res} 20.2145
{col 5}{txt}Log likelihood = {res}-6.64e-09{col 50}{txt}(Akaike's) AIC   =   {res}       6

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.11979            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res}  313.92{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}(the model with 1 factors is saturated)

Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:P113}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4721}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7771}}}{space 1}
{space 4}{space 0}{ralign 12:P114}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6550}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5710}}}{space 1}
{space 4}{space 0}{ralign 12:P116}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6840}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5321}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. 
. * now sanguinity-cynicism with respect to the possibility of achieving human progress:
. alpha P108 P109 P110 prem_p107_wrldiswhatis

{txt}Test scale = mean(unstandardized items)
Reversed item: {res: P108}

Average interitem covariance:{col 34}{res} .2088944
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.5900
{txt}
{com}. factor P108 P109 P110 prem_p107_wrldiswhatis, ml factors (1)
{txt}(obs=842)
Iteration 0:   log likelihood = {res}-18.087693
{txt}Iteration 1:   log likelihood = {res}-.66144101
{txt}Iteration 2:   log likelihood = {res}-.64457028
{txt}Iteration 3:   log likelihood = {res}-.64453195

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       842
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4
{col 50}{txt}Schwarz's BIC    =   {res} 28.2322
{col 5}{txt}Log likelihood = {res}-.6445319{col 50}{txt}(Akaike's) AIC   =   {res} 9.28906

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.09552            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res}  299.82{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}LR test: {res}   1{txt} factor vs. saturated:  chi2({res}2{txt})  ={res}    1.28{txt} Prob>chi2 ={res} 0.5260

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:P108}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.4723}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7770}}}{space 1}
{space 4}{space 0}{ralign 12:P109}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4404}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.8061}}}{space 1}
{space 4}{space 0}{ralign 12:P110}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4994}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7506}}}{space 1}
{space 4}{space 0}{ralign 12:prem_p107_~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6551}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5708}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. 
. * now the stability-fragility of society:
. alpha P101 P103 prem_p106_amerwayfine

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .4130214
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7150
{txt}
{com}. factor P101 P103 prem_p106_amerwayfine, ml factors (1)
{txt}(obs=849)
Iteration 0:   log likelihood = {res}-30.996683
{txt}Iteration 1:   log likelihood = {res}-.00869228
{txt}Iteration 2:   log likelihood = {res}-5.547e-08

{txt}Factor analysis/correlation{col 50}Number of obs    = {res}       849
{col 5}{txt}Method: maximum likelihood{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3
{col 50}{txt}Schwarz's BIC    =   {res} 20.2322
{col 5}{txt}Log likelihood = {res}-5.55e-08{col 50}{txt}(Akaike's) AIC   =   {res}       6

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.38885            .            1.0000       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res}  495.81{txt} Prob>chi2 ={res} 0.0000
{txt}{col 5}(the model with 1 factors is saturated)

Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:P101}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5936}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6476}}}{space 1}
{space 4}{space 0}{ralign 12:P103}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6686}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5530}}}{space 1}
{space 4}{space 0}{ralign 12:prem_p106_~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7677}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4106}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. 
. * These factor analyses were used to create the following variables (by using the predict command following each factor analysis): ideolissuesfactor1601 ideoleconfactor01 ideoculturefactor501 ideodefensefactor301 humanbadfctrnew1901 premprogskepticalfactor01 and premsocietyfragilefactor01
. * in each case, we rescaled the variable to 0-1.
. 
. * now for the regression estimations. The first uses the 3-point ideological identification variable as the outcome variable
. * and estimates using generalized ordered logit, focusing on the comparisons between predictions of being a liberal or a conservative, ignoring moderates
. gologit2 ideo301 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid) or
{res}
{txt}Generalized Ordered Logit Estimates{col 49}Number of obs{col 67}= {res}       719
{txt}{col 49}Wald chi2({res}24{txt}){col 67}= {res}    813.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-586.93335{txt}{col 49}Pseudo R2{col 67}= {res}    0.2477

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ideo301{col 28}{c |} Odds Ratio{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}0                          {txt}{c |}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} 1.312813{col 40}{space 2} .7382009{col 51}{space 1}    0.48{col 60}{space 3}0.628{col 68}{space 4} .4360824{col 81}{space 3} 3.952187
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} 7.155531{col 40}{space 2} 4.730092{col 51}{space 1}    2.98{col 60}{space 3}0.003{col 68}{space 4} 1.958681{col 81}{space 3} 26.14087
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} 7.624021{col 40}{space 2} 2.916036{col 51}{space 1}    5.31{col 60}{space 3}0.000{col 68}{space 4} 3.602603{col 81}{space 3} 16.13436
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} 2.189669{col 40}{space 2} .9729396{col 51}{space 1}    1.76{col 60}{space 3}0.078{col 68}{space 4} .9165637{col 81}{space 3} 5.231117
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} 7.174505{col 40}{space 2} 2.713427{col 51}{space 1}    5.21{col 60}{space 3}0.000{col 68}{space 4} 3.418725{col 81}{space 3} 15.05635
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} 2.942572{col 40}{space 2} .7923189{col 51}{space 1}    4.01{col 60}{space 3}0.000{col 68}{space 4} 1.735929{col 81}{space 3} 4.987951
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2}  1.97558{col 40}{space 2} .8947219{col 51}{space 1}    1.50{col 60}{space 3}0.133{col 68}{space 4} .8131925{col 81}{space 3} 4.799499
{txt}{space 21}white {c |}{col 28}{res}{space 2} 1.295752{col 40}{space 2}  .309475{col 51}{space 1}    1.08{col 60}{space 3}0.278{col 68}{space 4} .8113763{col 81}{space 3} 2.069289
{txt}{space 20}female {c |}{col 28}{res}{space 2} .7467519{col 40}{space 2} .1535425{col 51}{space 1}   -1.42{col 60}{space 3}0.156{col 68}{space 4} .4990655{col 81}{space 3} 1.117365
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} .8224437{col 40}{space 2} .4865373{col 51}{space 1}   -0.33{col 60}{space 3}0.741{col 68}{space 4} .2579625{col 81}{space 3}  2.62214
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2}   .96068{col 40}{space 2} .4819679{col 51}{space 1}   -0.08{col 60}{space 3}0.936{col 68}{space 4} .3593649{col 81}{space 3} 2.568159
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .6252546{col 40}{space 2} .2777915{col 51}{space 1}   -1.06{col 60}{space 3}0.291{col 68}{space 4} .2617462{col 81}{space 3} 1.493597
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0926334{col 40}{space 2} .0640609{col 51}{space 1}   -3.44{col 60}{space 3}0.001{col 68}{space 4} .0238845{col 81}{space 3} .3592682
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}_5                         {txt}{c |}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} 1.527669{col 40}{space 2} .8562838{col 51}{space 1}    0.76{col 60}{space 3}0.450{col 68}{space 4} .5092333{col 81}{space 3} 4.582916
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} 3.093227{col 40}{space 2} 1.918153{col 51}{space 1}    1.82{col 60}{space 3}0.069{col 68}{space 4} .9174234{col 81}{space 3} 10.42927
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} 3.865484{col 40}{space 2} 2.170408{col 51}{space 1}    2.41{col 60}{space 3}0.016{col 68}{space 4}  1.28608{col 81}{space 3} 11.61823
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} 4.396348{col 40}{space 2} 1.426807{col 51}{space 1}    4.56{col 60}{space 3}0.000{col 68}{space 4} 2.327233{col 81}{space 3} 8.305087
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} 9.407889{col 40}{space 2} 2.893057{col 51}{space 1}    7.29{col 60}{space 3}0.000{col 68}{space 4} 5.149153{col 81}{space 3} 17.18892
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} 3.723324{col 40}{space 2} 1.040039{col 51}{space 1}    4.71{col 60}{space 3}0.000{col 68}{space 4} 2.153595{col 81}{space 3}  6.43721
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2}  2.84229{col 40}{space 2} 1.006697{col 51}{space 1}    2.95{col 60}{space 3}0.003{col 68}{space 4} 1.419664{col 81}{space 3} 5.690511
{txt}{space 21}white {c |}{col 28}{res}{space 2} 1.982476{col 40}{space 2} .4852816{col 51}{space 1}    2.80{col 60}{space 3}0.005{col 68}{space 4} 1.227004{col 81}{space 3} 3.203095
{txt}{space 20}female {c |}{col 28}{res}{space 2} .8896543{col 40}{space 2} .2195017{col 51}{space 1}   -0.47{col 60}{space 3}0.636{col 68}{space 4} .5485383{col 81}{space 3} 1.442898
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} .9781181{col 40}{space 2} .4153301{col 51}{space 1}   -0.05{col 60}{space 3}0.958{col 68}{space 4} .4255521{col 81}{space 3} 2.248174
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} 1.093759{col 40}{space 2} .3713751{col 51}{space 1}    0.26{col 60}{space 3}0.792{col 68}{space 4} .5622178{col 81}{space 3} 2.127839
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .9808244{col 40}{space 2} .4913494{col 51}{space 1}   -0.04{col 60}{space 3}0.969{col 68}{space 4} .3674321{col 81}{space 3} 2.618215
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0027814{col 40}{space 2} .0021829{col 51}{space 1}   -7.50{col 60}{space 3}0.000{col 68}{space 4} .0005973{col 81}{space 3} .0129512
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline odds{txt}.{p_end}

{com}. 
. * now for the overall ideology outcome variable
. reg ideolissuesfactor1601 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       742
                                                {txt}F(12, 46)         =  {res}   223.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5893
                                                {txt}Root MSE          =    {res}  .1672

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}     ideolissuesfactor1601{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0484902{col 40}{space 2} .0283203{col 51}{space 1}    1.71{col 60}{space 3}0.094{col 68}{space 4}-.0085156{col 81}{space 3}  .105496
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2416002{col 40}{space 2} .0287379{col 51}{space 1}    8.41{col 60}{space 3}0.000{col 68}{space 4} .1837538{col 81}{space 3} .2994466
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .2389208{col 40}{space 2} .0325098{col 51}{space 1}    7.35{col 60}{space 3}0.000{col 68}{space 4} .1734821{col 81}{space 3} .3043596
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1709739{col 40}{space 2} .0268302{col 51}{space 1}    6.37{col 60}{space 3}0.000{col 68}{space 4} .1169676{col 81}{space 3} .2249803
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1495076{col 40}{space 2} .0170982{col 51}{space 1}    8.74{col 60}{space 3}0.000{col 68}{space 4} .1150907{col 81}{space 3} .1839246
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1633774{col 40}{space 2} .0186136{col 51}{space 1}    8.78{col 60}{space 3}0.000{col 68}{space 4} .1259102{col 81}{space 3} .2008446
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0593797{col 40}{space 2} .0240855{col 51}{space 1}    2.47{col 60}{space 3}0.017{col 68}{space 4} .0108982{col 81}{space 3} .1078612
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0828607{col 40}{space 2} .0100066{col 51}{space 1}    8.28{col 60}{space 3}0.000{col 68}{space 4} .0627184{col 81}{space 3} .1030031
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0328108{col 40}{space 2} .0141403{col 51}{space 1}   -2.32{col 60}{space 3}0.025{col 68}{space 4}-.0612737{col 81}{space 3}-.0043479
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0203203{col 40}{space 2} .0273642{col 51}{space 1}   -0.74{col 60}{space 3}0.462{col 68}{space 4}-.0754015{col 81}{space 3} .0347609
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0100242{col 40}{space 2} .0257859{col 51}{space 1}    0.39{col 60}{space 3}0.699{col 68}{space 4}-.0418801{col 81}{space 3} .0619285
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}-.0007348{col 40}{space 2}   .03152{col 51}{space 1}   -0.02{col 60}{space 3}0.982{col 68}{space 4}-.0641812{col 81}{space 3} .0627117
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  -.12994{col 40}{space 2} .0403219{col 51}{space 1}   -3.22{col 60}{space 3}0.002{col 68}{space 4}-.2111039{col 81}{space 3}-.0487761
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * now for the economic ideology outcome variable
. reg ideoleconfactor01 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       758
                                                {txt}F(12, 46)         =  {res}    91.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4425
                                                {txt}Root MSE          =    {res} .22109

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}         ideoleconfactor01{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0945316{col 40}{space 2} .0393263{col 51}{space 1}    2.40{col 60}{space 3}0.020{col 68}{space 4} .0153718{col 81}{space 3} .1736914
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2934421{col 40}{space 2} .0412466{col 51}{space 1}    7.11{col 60}{space 3}0.000{col 68}{space 4}  .210417{col 81}{space 3} .3764672
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2}  .200777{col 40}{space 2} .0362192{col 51}{space 1}    5.54{col 60}{space 3}0.000{col 68}{space 4} .1278715{col 81}{space 3} .2736825
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1962272{col 40}{space 2} .0306708{col 51}{space 1}    6.40{col 60}{space 3}0.000{col 68}{space 4} .1344901{col 81}{space 3} .2579643
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1396647{col 40}{space 2} .0242904{col 51}{space 1}    5.75{col 60}{space 3}0.000{col 68}{space 4} .0907707{col 81}{space 3} .1885587
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1625303{col 40}{space 2} .0200988{col 51}{space 1}    8.09{col 60}{space 3}0.000{col 68}{space 4} .1220736{col 81}{space 3} .2029871
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0384237{col 40}{space 2} .0278442{col 51}{space 1}    1.38{col 60}{space 3}0.174{col 68}{space 4}-.0176237{col 81}{space 3} .0944712
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0638004{col 40}{space 2} .0129321{col 51}{space 1}    4.93{col 60}{space 3}0.000{col 68}{space 4} .0377694{col 81}{space 3} .0898314
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0304668{col 40}{space 2}  .019349{col 51}{space 1}   -1.57{col 60}{space 3}0.122{col 68}{space 4}-.0694144{col 81}{space 3} .0084807
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0109145{col 40}{space 2}  .034679{col 51}{space 1}   -0.31{col 60}{space 3}0.754{col 68}{space 4}-.0807197{col 81}{space 3} .0588908
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0272541{col 40}{space 2}  .031053{col 51}{space 1}    0.88{col 60}{space 3}0.385{col 68}{space 4}-.0352525{col 81}{space 3} .0897606
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}   .03578{col 40}{space 2} .0427365{col 51}{space 1}    0.84{col 60}{space 3}0.407{col 68}{space 4}-.0502441{col 81}{space 3} .1218041
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.2290558{col 40}{space 2} .0582198{col 51}{space 1}   -3.93{col 60}{space 3}0.000{col 68}{space 4}-.3462462{col 81}{space 3}-.1118654
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * now for the culture war ideology model
. reg ideoculturefactor501 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       776
                                                {txt}F(12, 46)         =  {res}   197.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5478
                                                {txt}Root MSE          =    {res} .20494

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      ideoculturefactor501{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0046472{col 40}{space 2} .0377035{col 51}{space 1}    0.12{col 60}{space 3}0.902{col 68}{space 4} -.071246{col 81}{space 3} .0805403
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2495586{col 40}{space 2}  .031829{col 51}{space 1}    7.84{col 60}{space 3}0.000{col 68}{space 4} .1854902{col 81}{space 3} .3136271
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .3035671{col 40}{space 2} .0480751{col 51}{space 1}    6.31{col 60}{space 3}0.000{col 68}{space 4}  .206797{col 81}{space 3} .4003371
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1722846{col 40}{space 2} .0295654{col 51}{space 1}    5.83{col 60}{space 3}0.000{col 68}{space 4} .1127725{col 81}{space 3} .2317966
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .2029524{col 40}{space 2} .0206484{col 51}{space 1}    9.83{col 60}{space 3}0.000{col 68}{space 4} .1613893{col 81}{space 3} .2445154
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1313898{col 40}{space 2} .0261718{col 51}{space 1}    5.02{col 60}{space 3}0.000{col 68}{space 4} .0787086{col 81}{space 3}  .184071
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0904758{col 40}{space 2} .0322319{col 51}{space 1}    2.81{col 60}{space 3}0.007{col 68}{space 4} .0255963{col 81}{space 3} .1553553
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0993134{col 40}{space 2} .0170402{col 51}{space 1}    5.83{col 60}{space 3}0.000{col 68}{space 4} .0650132{col 81}{space 3} .1336135
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0491451{col 40}{space 2} .0165671{col 51}{space 1}   -2.97{col 60}{space 3}0.005{col 68}{space 4}-.0824929{col 81}{space 3}-.0157973
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0253183{col 40}{space 2} .0295536{col 51}{space 1}   -0.86{col 60}{space 3}0.396{col 68}{space 4}-.0848066{col 81}{space 3}   .03417
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2}-.0543176{col 40}{space 2} .0363899{col 51}{space 1}   -1.49{col 60}{space 3}0.142{col 68}{space 4}-.1275668{col 81}{space 3} .0189316
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}-.0528628{col 40}{space 2} .0287383{col 51}{space 1}   -1.84{col 60}{space 3}0.072{col 68}{space 4}  -.11071{col 81}{space 3} .0049843
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.0301675{col 40}{space 2} .0509924{col 51}{space 1}   -0.59{col 60}{space 3}0.557{col 68}{space 4}-.1328098{col 81}{space 3} .0724749
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * now for the security/defense ideology model:
. reg ideodefensefactor301 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       765
                                                {txt}F(12, 46)         =  {res}    82.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3883
                                                {txt}Root MSE          =    {res}  .2467

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      ideodefensefactor301{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2}-.1266141{col 40}{space 2} .0412563{col 51}{space 1}   -3.07{col 60}{space 3}0.004{col 68}{space 4}-.2096587{col 81}{space 3}-.0435696
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .0238389{col 40}{space 2} .0438193{col 51}{space 1}    0.54{col 60}{space 3}0.589{col 68}{space 4}-.0643647{col 81}{space 3} .1120424
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} -.222112{col 40}{space 2} .0356395{col 51}{space 1}   -6.23{col 60}{space 3}0.000{col 68}{space 4}-.2938505{col 81}{space 3}-.1503734
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2}-.0283609{col 40}{space 2} .0366931{col 51}{space 1}   -0.77{col 60}{space 3}0.444{col 68}{space 4}-.1022203{col 81}{space 3} .0454984
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2}-.1958608{col 40}{space 2} .0221003{col 51}{space 1}   -8.86{col 60}{space 3}0.000{col 68}{space 4}-.2403464{col 81}{space 3}-.1513752
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2}-.2851194{col 40}{space 2} .0225127{col 51}{space 1}  -12.66{col 60}{space 3}0.000{col 68}{space 4}-.3304351{col 81}{space 3}-.2398036
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2}-.0782125{col 40}{space 2} .0263067{col 51}{space 1}   -2.97{col 60}{space 3}0.005{col 68}{space 4}-.1311651{col 81}{space 3}  -.02526
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0556254{col 40}{space 2} .0171703{col 51}{space 1}    3.24{col 60}{space 3}0.002{col 68}{space 4} .0210634{col 81}{space 3} .0901874
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0446814{col 40}{space 2} .0167222{col 51}{space 1}   -2.67{col 60}{space 3}0.010{col 68}{space 4}-.0783414{col 81}{space 3}-.0110213
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0754848{col 40}{space 2} .0376277{col 51}{space 1}   -2.01{col 60}{space 3}0.051{col 68}{space 4}-.1512256{col 81}{space 3} .0002559
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0601172{col 40}{space 2} .0339217{col 51}{space 1}    1.77{col 60}{space 3}0.083{col 68}{space 4}-.0081636{col 81}{space 3} .1283981
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}-.0008013{col 40}{space 2} .0576077{col 51}{space 1}   -0.01{col 60}{space 3}0.989{col 68}{space 4}-.1167595{col 81}{space 3} .1151569
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .8239953{col 40}{space 2} .0468379{col 51}{space 1}   17.59{col 60}{space 3}0.000{col 68}{space 4} .7297155{col 81}{space 3} .9182751
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * now for the overall ideology outcome variable, with missing values of that variable imputed
. 
. impute ideolissuesfactor1601 white female age01 educ01 faminc01 ideo301 pid3clean01, generate (ideoissuefactr1601imputedrep)
{txt} 18.70% (187) observations imputed

{com}. 
. reg ideoissuefactr1601imputedrep humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       785
                                                {txt}F(12, 46)         =  {res}   198.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5729
                                                {txt}Root MSE          =    {res}  .1684

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}ideoissuefactr1601impute~p{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0554746{col 40}{space 2} .0272492{col 51}{space 1}    2.04{col 60}{space 3}0.048{col 68}{space 4} .0006249{col 81}{space 3} .1103243
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2427533{col 40}{space 2} .0298376{col 51}{space 1}    8.14{col 60}{space 3}0.000{col 68}{space 4} .1826933{col 81}{space 3} .3028134
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .2284008{col 40}{space 2} .0321045{col 51}{space 1}    7.11{col 60}{space 3}0.000{col 68}{space 4} .1637778{col 81}{space 3} .2930238
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1703838{col 40}{space 2} .0234364{col 51}{space 1}    7.27{col 60}{space 3}0.000{col 68}{space 4} .1232087{col 81}{space 3} .2175588
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1444848{col 40}{space 2} .0190269{col 51}{space 1}    7.59{col 60}{space 3}0.000{col 68}{space 4} .1061856{col 81}{space 3}  .182784
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1571495{col 40}{space 2} .0183718{col 51}{space 1}    8.55{col 60}{space 3}0.000{col 68}{space 4}  .120169{col 81}{space 3}   .19413
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0576568{col 40}{space 2} .0248692{col 51}{space 1}    2.32{col 60}{space 3}0.025{col 68}{space 4} .0075977{col 81}{space 3} .1077159
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0856209{col 40}{space 2} .0099156{col 51}{space 1}    8.63{col 60}{space 3}0.000{col 68}{space 4} .0656618{col 81}{space 3} .1055799
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0337512{col 40}{space 2} .0137942{col 51}{space 1}   -2.45{col 60}{space 3}0.018{col 68}{space 4}-.0615174{col 81}{space 3}-.0059849
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0093045{col 40}{space 2} .0274853{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4}-.0646295{col 81}{space 3} .0460205
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2}-.0008084{col 40}{space 2} .0246844{col 51}{space 1}   -0.03{col 60}{space 3}0.974{col 68}{space 4}-.0504956{col 81}{space 3} .0488788
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .0168218{col 40}{space 2} .0318971{col 51}{space 1}    0.53{col 60}{space 3}0.600{col 68}{space 4}-.0473836{col 81}{space 3} .0810273
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.1247459{col 40}{space 2} .0411841{col 51}{space 1}   -3.03{col 60}{space 3}0.004{col 68}{space 4}-.2076452{col 81}{space 3}-.0418466
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg ideoissuefactr1601imputedrep humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       785
                                                {txt}F(12, 46)         =  {res}   198.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5729
                                                {txt}Root MSE          =    {res}  .1684

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}ideoissuefactr1601impute~p{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0554746{col 40}{space 2} .0272492{col 51}{space 1}    2.04{col 60}{space 3}0.048{col 68}{space 4} .0006249{col 81}{space 3} .1103243
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2427533{col 40}{space 2} .0298376{col 51}{space 1}    8.14{col 60}{space 3}0.000{col 68}{space 4} .1826933{col 81}{space 3} .3028134
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .2284008{col 40}{space 2} .0321045{col 51}{space 1}    7.11{col 60}{space 3}0.000{col 68}{space 4} .1637778{col 81}{space 3} .2930238
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1703838{col 40}{space 2} .0234364{col 51}{space 1}    7.27{col 60}{space 3}0.000{col 68}{space 4} .1232087{col 81}{space 3} .2175588
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1444848{col 40}{space 2} .0190269{col 51}{space 1}    7.59{col 60}{space 3}0.000{col 68}{space 4} .1061856{col 81}{space 3}  .182784
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1571495{col 40}{space 2} .0183718{col 51}{space 1}    8.55{col 60}{space 3}0.000{col 68}{space 4}  .120169{col 81}{space 3}   .19413
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0576568{col 40}{space 2} .0248692{col 51}{space 1}    2.32{col 60}{space 3}0.025{col 68}{space 4} .0075977{col 81}{space 3} .1077159
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0856209{col 40}{space 2} .0099156{col 51}{space 1}    8.63{col 60}{space 3}0.000{col 68}{space 4} .0656618{col 81}{space 3} .1055799
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0337512{col 40}{space 2} .0137942{col 51}{space 1}   -2.45{col 60}{space 3}0.018{col 68}{space 4}-.0615174{col 81}{space 3}-.0059849
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0093045{col 40}{space 2} .0274853{col 51}{space 1}   -0.34{col 60}{space 3}0.737{col 68}{space 4}-.0646295{col 81}{space 3} .0460205
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2}-.0008084{col 40}{space 2} .0246844{col 51}{space 1}   -0.03{col 60}{space 3}0.974{col 68}{space 4}-.0504956{col 81}{space 3} .0488788
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .0168218{col 40}{space 2} .0318971{col 51}{space 1}    0.53{col 60}{space 3}0.600{col 68}{space 4}-.0473836{col 81}{space 3} .0810273
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.1247459{col 40}{space 2} .0411841{col 51}{space 1}   -3.03{col 60}{space 3}0.004{col 68}{space 4}-.2076452{col 81}{space 3}-.0418466
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. * now for all of the models with party ID also included as a control
. gologit2 ideo301 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 pid3clean01 white female age01 educ01 faminc01, cluster (cdid) or
{res}
{txt}Generalized Ordered Logit Estimates{col 49}Number of obs{col 67}= {res}       716
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}   2085.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-506.18918{txt}{col 49}Pseudo R2{col 67}= {res}    0.3481

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ideo301{col 28}{c |} Odds Ratio{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}0                          {txt}{c |}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} 1.118954{col 40}{space 2} .7558027{col 51}{space 1}    0.17{col 60}{space 3}0.868{col 68}{space 4} .2977583{col 81}{space 3} 4.204945
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} 5.347716{col 40}{space 2} 3.966076{col 51}{space 1}    2.26{col 60}{space 3}0.024{col 68}{space 4} 1.249925{col 81}{space 3} 22.87983
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} 3.920433{col 40}{space 2} 1.820588{col 51}{space 1}    2.94{col 60}{space 3}0.003{col 68}{space 4} 1.577791{col 81}{space 3}  9.74134
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} 1.733156{col 40}{space 2} .7888848{col 51}{space 1}    1.21{col 60}{space 3}0.227{col 68}{space 4} .7102218{col 81}{space 3} 4.229423
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} 6.448532{col 40}{space 2} 2.535315{col 51}{space 1}    4.74{col 60}{space 3}0.000{col 68}{space 4} 2.984015{col 81}{space 3} 13.93544
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2}  2.40697{col 40}{space 2} .6258123{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} 1.445966{col 81}{space 3} 4.006666
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2}  1.88441{col 40}{space 2} .9230083{col 51}{space 1}    1.29{col 60}{space 3}0.196{col 68}{space 4} .7215159{col 81}{space 3} 4.921584
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2} 15.06379{col 40}{space 2} 4.843106{col 51}{space 1}    8.44{col 60}{space 3}0.000{col 68}{space 4} 8.021721{col 81}{space 3} 28.28792
{txt}{space 21}white {c |}{col 28}{res}{space 2} .8411388{col 40}{space 2} .2191498{col 51}{space 1}   -0.66{col 60}{space 3}0.507{col 68}{space 4} .5047731{col 81}{space 3} 1.401649
{txt}{space 20}female {c |}{col 28}{res}{space 2} .8305062{col 40}{space 2} .1950683{col 51}{space 1}   -0.79{col 60}{space 3}0.429{col 68}{space 4} .5240995{col 81}{space 3} 1.316049
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} 1.301743{col 40}{space 2} .8726077{col 51}{space 1}    0.39{col 60}{space 3}0.694{col 68}{space 4} .3498911{col 81}{space 3} 4.843038
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} 1.035631{col 40}{space 2} .5384255{col 51}{space 1}    0.07{col 60}{space 3}0.946{col 68}{space 4} .3738216{col 81}{space 3} 2.869099
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .5201527{col 40}{space 2} .2487074{col 51}{space 1}   -1.37{col 60}{space 3}0.172{col 68}{space 4} .2037674{col 81}{space 3} 1.327783
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0928577{col 40}{space 2}  .068056{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4} .0220784{col 81}{space 3} .3905428
{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}_5                         {txt}{c |}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .7362649{col 40}{space 2}  .543671{col 51}{space 1}   -0.41{col 60}{space 3}0.678{col 68}{space 4} .1731776{col 81}{space 3} 3.130231
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} 2.645524{col 40}{space 2} 1.875355{col 51}{space 1}    1.37{col 60}{space 3}0.170{col 68}{space 4} .6593459{col 81}{space 3} 10.61476
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} 1.377408{col 40}{space 2} .9163075{col 51}{space 1}    0.48{col 60}{space 3}0.630{col 68}{space 4} .3739458{col 81}{space 3} 5.073601
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} 3.312502{col 40}{space 2} 1.203081{col 51}{space 1}    3.30{col 60}{space 3}0.001{col 68}{space 4} 1.625567{col 81}{space 3} 6.750057
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} 7.231513{col 40}{space 2} 2.377977{col 51}{space 1}    6.02{col 60}{space 3}0.000{col 68}{space 4}  3.79598{col 81}{space 3} 13.77636
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} 2.295628{col 40}{space 2}   .73098{col 51}{space 1}    2.61{col 60}{space 3}0.009{col 68}{space 4} 1.229871{col 81}{space 3} 4.284927
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} 2.501588{col 40}{space 2} .9002426{col 51}{space 1}    2.55{col 60}{space 3}0.011{col 68}{space 4} 1.235649{col 81}{space 3} 5.064498
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2} 34.65467{col 40}{space 2} 14.02761{col 51}{space 1}    8.76{col 60}{space 3}0.000{col 68}{space 4}  15.6751{col 81}{space 3} 76.61493
{txt}{space 21}white {c |}{col 28}{res}{space 2} .7856588{col 40}{space 2}  .237901{col 51}{space 1}   -0.80{col 60}{space 3}0.426{col 68}{space 4} .4339966{col 81}{space 3} 1.422269
{txt}{space 20}female {c |}{col 28}{res}{space 2} .8946277{col 40}{space 2} .2369218{col 51}{space 1}   -0.42{col 60}{space 3}0.674{col 68}{space 4}  .532379{col 81}{space 3} 1.503363
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} 2.184263{col 40}{space 2} 1.177097{col 51}{space 1}    1.45{col 60}{space 3}0.147{col 68}{space 4} .7596147{col 81}{space 3} 6.280823
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} 1.063655{col 40}{space 2} .3747673{col 51}{space 1}    0.18{col 60}{space 3}0.861{col 68}{space 4} .5331986{col 81}{space 3} 2.121839
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .6073479{col 40}{space 2} .3559422{col 51}{space 1}   -0.85{col 60}{space 3}0.395{col 68}{space 4} .1925673{col 81}{space 3} 1.915546
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}  .004014{col 40}{space 2}  .002955{col 51}{space 1}   -7.50{col 60}{space 3}0.000{col 68}{space 4} .0009483{col 81}{space 3} .0169906
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {res:_cons} estimates baseline odds{txt}.{p_end}

{com}. reg ideolissuesfactor1601 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 pid3clean01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       740
                                                {txt}F(13, 46)         =  {res}   249.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6499
                                                {txt}Root MSE          =    {res} .15457

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}     ideolissuesfactor1601{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0168648{col 40}{space 2} .0300556{col 51}{space 1}    0.56{col 60}{space 3}0.577{col 68}{space 4} -.043634{col 81}{space 3} .0773636
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2100148{col 40}{space 2} .0304215{col 51}{space 1}    6.90{col 60}{space 3}0.000{col 68}{space 4} .1487795{col 81}{space 3}   .27125
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .1810292{col 40}{space 2}  .024572{col 51}{space 1}    7.37{col 60}{space 3}0.000{col 68}{space 4} .1315684{col 81}{space 3}   .23049
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1383928{col 40}{space 2} .0263944{col 51}{space 1}    5.24{col 60}{space 3}0.000{col 68}{space 4} .0852637{col 81}{space 3} .1915219
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1177272{col 40}{space 2} .0144604{col 51}{space 1}    8.14{col 60}{space 3}0.000{col 68}{space 4} .0886199{col 81}{space 3} .1468345
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1308738{col 40}{space 2}   .01622{col 51}{space 1}    8.07{col 60}{space 3}0.000{col 68}{space 4} .0982246{col 81}{space 3} .1635231
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0457751{col 40}{space 2} .0214853{col 51}{space 1}    2.13{col 60}{space 3}0.039{col 68}{space 4} .0025275{col 81}{space 3} .0890227
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2} .1957762{col 40}{space 2} .0189343{col 51}{space 1}   10.34{col 60}{space 3}0.000{col 68}{space 4} .1576634{col 81}{space 3} .2338891
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0448515{col 40}{space 2} .0095283{col 51}{space 1}    4.71{col 60}{space 3}0.000{col 68}{space 4}  .025672{col 81}{space 3}  .064031
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0299455{col 40}{space 2} .0117118{col 51}{space 1}   -2.56{col 60}{space 3}0.014{col 68}{space 4}-.0535201{col 81}{space 3}-.0063709
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} .0174455{col 40}{space 2} .0262177{col 51}{space 1}    0.67{col 60}{space 3}0.509{col 68}{space 4} -.035328{col 81}{space 3} .0702189
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0043714{col 40}{space 2} .0236382{col 51}{space 1}    0.18{col 60}{space 3}0.854{col 68}{space 4}-.0432098{col 81}{space 3} .0519526
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}-.0199816{col 40}{space 2} .0300242{col 51}{space 1}   -0.67{col 60}{space 3}0.509{col 68}{space 4}-.0804173{col 81}{space 3}  .040454
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.0805411{col 40}{space 2} .0382732{col 51}{space 1}   -2.10{col 60}{space 3}0.041{col 68}{space 4} -.157581{col 81}{space 3}-.0035011
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg ideoleconfactor01 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 pid3clean01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       755
                                                {txt}F(13, 46)         =  {res}   155.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4917
                                                {txt}Root MSE          =    {res} .21113

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}         ideoleconfactor01{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2} .0588277{col 40}{space 2} .0414497{col 51}{space 1}    1.42{col 60}{space 3}0.163{col 68}{space 4}-.0246063{col 81}{space 3} .1422616
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2571645{col 40}{space 2} .0443048{col 51}{space 1}    5.80{col 60}{space 3}0.000{col 68}{space 4} .1679835{col 81}{space 3} .3463454
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .1432287{col 40}{space 2} .0282728{col 51}{space 1}    5.07{col 60}{space 3}0.000{col 68}{space 4} .0863185{col 81}{space 3} .2001389
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1618002{col 40}{space 2} .0304434{col 51}{space 1}    5.31{col 60}{space 3}0.000{col 68}{space 4} .1005209{col 81}{space 3} .2230795
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1045586{col 40}{space 2} .0204919{col 51}{space 1}    5.10{col 60}{space 3}0.000{col 68}{space 4} .0633106{col 81}{space 3} .1458067
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .1314069{col 40}{space 2} .0185774{col 51}{space 1}    7.07{col 60}{space 3}0.000{col 68}{space 4} .0940126{col 81}{space 3} .1688012
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0236172{col 40}{space 2} .0264565{col 51}{space 1}    0.89{col 60}{space 3}0.377{col 68}{space 4}-.0296369{col 81}{space 3} .0768713
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2} .2009251{col 40}{space 2} .0234762{col 51}{space 1}    8.56{col 60}{space 3}0.000{col 68}{space 4} .1536699{col 81}{space 3} .2481802
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0253486{col 40}{space 2} .0136427{col 51}{space 1}    1.86{col 60}{space 3}0.070{col 68}{space 4}-.0021128{col 81}{space 3}   .05281
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0270462{col 40}{space 2} .0172298{col 51}{space 1}   -1.57{col 60}{space 3}0.123{col 68}{space 4} -.061728{col 81}{space 3} .0076356
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} .0279129{col 40}{space 2} .0332669{col 51}{space 1}    0.84{col 60}{space 3}0.406{col 68}{space 4}-.0390498{col 81}{space 3} .0948757
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0222667{col 40}{space 2} .0303621{col 51}{space 1}    0.73{col 60}{space 3}0.467{col 68}{space 4} -.038849{col 81}{space 3} .0833823
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .0122466{col 40}{space 2} .0399276{col 51}{space 1}    0.31{col 60}{space 3}0.760{col 68}{space 4}-.0681235{col 81}{space 3} .0926166
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-.1762833{col 40}{space 2} .0558683{col 51}{space 1}   -3.16{col 60}{space 3}0.003{col 68}{space 4}-.2887404{col 81}{space 3}-.0638263
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg ideoculturefactor501 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 pid3clean01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       773
                                                {txt}F(13, 46)         =  {res}   243.98
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5969
                                                {txt}Root MSE          =    {res} .19373

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      ideoculturefactor501{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2}-.0308538{col 40}{space 2} .0388777{col 51}{space 1}   -0.79{col 60}{space 3}0.431{col 68}{space 4}-.1091106{col 81}{space 3}  .047403
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .2133934{col 40}{space 2} .0334999{col 51}{space 1}    6.37{col 60}{space 3}0.000{col 68}{space 4} .1459617{col 81}{space 3} .2808252
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2} .2445891{col 40}{space 2} .0435318{col 51}{space 1}    5.62{col 60}{space 3}0.000{col 68}{space 4}  .156964{col 81}{space 3} .3322142
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2} .1391367{col 40}{space 2} .0288309{col 51}{space 1}    4.83{col 60}{space 3}0.000{col 68}{space 4}  .081103{col 81}{space 3} .1971704
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2} .1709445{col 40}{space 2} .0218373{col 51}{space 1}    7.83{col 60}{space 3}0.000{col 68}{space 4} .1269883{col 81}{space 3} .2149008
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2} .0966331{col 40}{space 2} .0225551{col 51}{space 1}    4.28{col 60}{space 3}0.000{col 68}{space 4} .0512321{col 81}{space 3}  .142034
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2} .0742753{col 40}{space 2} .0290183{col 51}{space 1}    2.56{col 60}{space 3}0.014{col 68}{space 4} .0158646{col 81}{space 3} .1326861
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2} .2069317{col 40}{space 2} .0230898{col 51}{space 1}    8.96{col 60}{space 3}0.000{col 68}{space 4} .1604543{col 81}{space 3} .2534091
{txt}{space 21}white {c |}{col 28}{res}{space 2} .0571644{col 40}{space 2} .0156813{col 51}{space 1}    3.65{col 60}{space 3}0.001{col 68}{space 4} .0255996{col 81}{space 3} .0887291
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0453011{col 40}{space 2} .0154115{col 51}{space 1}   -2.94{col 60}{space 3}0.005{col 68}{space 4}-.0763229{col 81}{space 3}-.0142794
{txt}{space 21}age01 {c |}{col 28}{res}{space 2} .0093626{col 40}{space 2} .0327528{col 51}{space 1}    0.29{col 60}{space 3}0.776{col 68}{space 4}-.0565654{col 81}{space 3} .0752906
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2}-.0563736{col 40}{space 2} .0314035{col 51}{space 1}   -1.80{col 60}{space 3}0.079{col 68}{space 4}-.1195856{col 81}{space 3} .0068385
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2}-.0766463{col 40}{space 2} .0287375{col 51}{space 1}   -2.67{col 60}{space 3}0.011{col 68}{space 4} -.134492{col 81}{space 3}-.0188006
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .0235309{col 40}{space 2} .0462843{col 51}{space 1}    0.51{col 60}{space 3}0.614{col 68}{space 4}-.0696346{col 81}{space 3} .1166964
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg ideodefensefactor301 humanbadfctrnew1901 premprogskepticalfactor01 premsocietyfragilefactor01 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 pid3clean01 white female age01 educ01 faminc01, cluster (cdid)

{txt}Linear regression                               Number of obs     = {res}       762
                                                {txt}F(13, 46)         =  {res}    91.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3980
                                                {txt}Root MSE          =    {res} .24506

{txt}{ralign 92:(Std. Err. adjusted for {res:47} clusters in cdid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}      ideodefensefactor301{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      t{col 60}   P>|t|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}humanbadfctrnew1901 {c |}{col 28}{res}{space 2}-.1084436{col 40}{space 2} .0411375{col 51}{space 1}   -2.64{col 60}{space 3}0.011{col 68}{space 4}-.1912492{col 81}{space 3}-.0256381
{txt}{space 1}premprogskepticalfactor01 {c |}{col 28}{res}{space 2} .0408775{col 40}{space 2} .0447204{col 51}{space 1}    0.91{col 60}{space 3}0.365{col 68}{space 4}  -.04914{col 81}{space 3} .1308949
{txt}premsocietyfragilefactor01 {c |}{col 28}{res}{space 2}-.1948167{col 40}{space 2} .0360957{col 51}{space 1}   -5.40{col 60}{space 3}0.000{col 68}{space 4}-.2674736{col 81}{space 3}-.1221599
{txt}{space 7}valu_coopselfreli01 {c |}{col 28}{res}{space 2}-.0126768{col 40}{space 2} .0385186{col 51}{space 1}   -0.33{col 60}{space 3}0.744{col 68}{space 4}-.0902107{col 81}{space 3} .0648572
{txt}{space 9}valu_knowlfaith01 {c |}{col 28}{res}{space 2}-.1809842{col 40}{space 2} .0219261{col 51}{space 1}   -8.25{col 60}{space 3}0.000{col 68}{space 4}-.2251192{col 81}{space 3}-.1368492
{txt}{space 7}valu_peaceprotect01 {c |}{col 28}{res}{space 2}-.2722945{col 40}{space 2} .0222198{col 51}{space 1}  -12.25{col 60}{space 3}0.000{col 68}{space 4}-.3170206{col 81}{space 3}-.2275684
{txt}{space 9}valu_kinddiscip01 {c |}{col 28}{res}{space 2}-.0731472{col 40}{space 2} .0258991{col 51}{space 1}   -2.82{col 60}{space 3}0.007{col 68}{space 4}-.1252795{col 81}{space 3} -.021015
{txt}{space 15}pid3clean01 {c |}{col 28}{res}{space 2}-.0894154{col 40}{space 2} .0223604{col 51}{space 1}   -4.00{col 60}{space 3}0.000{col 68}{space 4}-.1344245{col 81}{space 3}-.0444063
{txt}{space 21}white {c |}{col 28}{res}{space 2}  .071547{col 40}{space 2} .0164394{col 51}{space 1}    4.35{col 60}{space 3}0.000{col 68}{space 4} .0384563{col 81}{space 3} .1046378
{txt}{space 20}female {c |}{col 28}{res}{space 2}-.0462816{col 40}{space 2} .0163884{col 51}{space 1}   -2.82{col 60}{space 3}0.007{col 68}{space 4}-.0792698{col 81}{space 3}-.0132933
{txt}{space 21}age01 {c |}{col 28}{res}{space 2}-.0932543{col 40}{space 2} .0361285{col 51}{space 1}   -2.58{col 60}{space 3}0.013{col 68}{space 4}-.1659771{col 81}{space 3}-.0205314
{txt}{space 20}educ01 {c |}{col 28}{res}{space 2} .0595991{col 40}{space 2} .0353305{col 51}{space 1}    1.69{col 60}{space 3}0.098{col 68}{space 4}-.0115175{col 81}{space 3} .1307156
{txt}{space 18}faminc01 {c |}{col 28}{res}{space 2} .0095911{col 40}{space 2} .0547676{col 51}{space 1}    0.18{col 60}{space 3}0.862{col 68}{space 4}-.1006504{col 81}{space 3} .1198325
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .8035055{col 40}{space 2} .0496755{col 51}{space 1}   16.18{col 60}{space 3}0.000{col 68}{space 4} .7035139{col 81}{space 3} .9034971
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. * now for the CFA model comparisons (SEM)
. 
. * first, the one we consider our theoretically derived model:
. 
. sem (humnature -> P113, ) (humnature -> P114, ) (humnature -> P116, ) (progress -> prem_p107_wrldiswhatis, ) (progress -> P108, ) (progress -> P109, ) (progress -> P110, ) (societyfragstable -> prem_p106_amerwayfine,) (societyfragstable -> P101, ) (societyfragstable -> P103, ) (valu_coopselfreli01) (valu_knowlfaith01) (valu_peaceprotect01) (valu_kinddiscip01) ( ideo301 ideolissuesfactor1601 <- humnature progress societyfragstable valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01), latent (humnature progress societyfragstable ) method (mlmv) nocapslatent
{res}{txt}
Endogenous variables

{p 0 14 2}Observed:{space 5}{res}ideo301 ideolissuesfactor1601{p_end}
{txt}{p 0 14 2}Measurement:{space 2}{res}P113 P114 P116 prem_p107_wrldiswhatis P108 P109 P110 prem_p106_amerwayfine P101 P103{p_end}
{txt}
Exogenous variables

{p 0 14 2}Observed:{space 5}{res}valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01{p_end}
{txt}{p 0 14 2}Latent:{space 7}{res}humnature progress societyfragstable{p_end}
{txt}
Fitting saturated model:

Iteration 0:{space 3}log likelihood = {res:-12708.586}  
Iteration 1:{space 3}log likelihood = {res:-12635.959}  
Iteration 2:{space 3}log likelihood = {res: -12630.24}  
Iteration 3:{space 3}log likelihood = {res:-12630.229}  
Iteration 4:{space 3}log likelihood = {res:-12630.229}  

Fitting baseline model:

Iteration 0:{space 3}log likelihood = {res:-14239.015}  
Iteration 1:{space 3}log likelihood = {res:-14237.334}  
Iteration 2:{space 3}log likelihood = {res:-14237.332}  
{res}{txt}
Fitting conditional model:

Iteration 0:{space 3}log likelihood = {res:-13775.439}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-13525.193}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-13124.832}  (not concave)
Iteration 3:{space 3}log likelihood = {res: -12942.15}  
Iteration 4:{space 3}log likelihood = {res:-12871.473}  
Iteration 5:{space 3}log likelihood = {res:-12829.175}  
Iteration 6:{space 3}log likelihood = {res: -12816.33}  (not concave)
Iteration 7:{space 3}log likelihood = {res: -12813.41}  
Iteration 8:{space 3}log likelihood = {res:-12812.662}  
Iteration 9:{space 3}log likelihood = {res:-12812.655}  
Iteration 10:{space 2}log likelihood = {res:-12812.655}  
{txt}
Fitting target model:

Iteration 0:{space 3}log likelihood = {res:-12812.655}  
Iteration 1:{space 3}log likelihood = {res:-12812.654}  

{col 1}Structural equation model{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 1}Estimation method{col 20}= {res}mlmv
{txt}{col 1}Log likelihood{col 20}= {res}-12812.654

{p 0 7}{space 1}{text:( 1)}{space 1} [P113]humnature = 1{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [prem_p107_wrldiswhatis]progress = 1{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [prem_p106_amerwayfine]societyfragstable = 1{p_end}
{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}      OIM
{col 45}{c |}      Coef.{col 57}   Std. Err.{col 69}      z{col 77}   P>|z|{col 85}     [95% Con{col 98}f. Interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural                                 {col 45}{txt}{c |}
{space 2}{col 3}ideo301                                  {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2} .0994068{col 57}{space 2}  .038933{col 68}{space 1}    2.55{col 77}{space 3}0.011{col 85}{space 4} .0230994{col 98}{space 3} .1757141
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .2586331{col 57}{space 2}  .035364{col 68}{space 1}    7.31{col 77}{space 3}0.000{col 85}{space 4} .1893211{col 98}{space 3} .3279452
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .0395603{col 57}{space 2} .0397289{col 68}{space 1}    1.00{col 77}{space 3}0.319{col 85}{space 4} -.038307{col 98}{space 3} .1174276
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2} .0530381{col 57}{space 2} .0378028{col 68}{space 1}    1.40{col 77}{space 3}0.161{col 85}{space 4} -.021054{col 98}{space 3} .1271302
{txt}{space 38}white {c |}{col 45}{res}{space 2} .0630201{col 57}{space 2} .0271679{col 68}{space 1}    2.32{col 77}{space 3}0.020{col 85}{space 4}  .009772{col 98}{space 3} .1162682
{txt}{space 37}female {c |}{col 45}{res}{space 2} .0086033{col 57}{space 2} .0259738{col 68}{space 1}    0.33{col 77}{space 3}0.740{col 85}{space 4}-.0423045{col 98}{space 3}  .059511
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} .0233279{col 57}{space 2} .0662035{col 68}{space 1}    0.35{col 77}{space 3}0.725{col 85}{space 4}-.1064286{col 98}{space 3} .1530844
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2}-.0033423{col 57}{space 2} .0403302{col 68}{space 1}   -0.08{col 77}{space 3}0.934{col 85}{space 4} -.082388{col 98}{space 3} .0757033
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .0175009{col 57}{space 2} .0605019{col 68}{space 1}    0.29{col 77}{space 3}0.772{col 85}{space 4}-.1010807{col 98}{space 3} .1360824
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .3001289{col 57}{space 2} .0701898{col 68}{space 1}    4.28{col 77}{space 3}0.000{col 85}{space 4} .1625595{col 98}{space 3} .4376983
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.3110167{col 57}{space 2} .0766845{col 68}{space 1}   -4.06{col 77}{space 3}0.000{col 85}{space 4}-.4613155{col 98}{space 3}-.1607179
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1521753{col 57}{space 2} .0402241{col 68}{space 1}    3.78{col 77}{space 3}0.000{col 85}{space 4} .0733375{col 98}{space 3} .2310131
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .2378369{col 57}{space 2} .0718603{col 68}{space 1}    3.31{col 77}{space 3}0.001{col 85}{space 4} .0969933{col 98}{space 3} .3786806
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}ideolissuesfactor1601                    {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2} .1174504{col 57}{space 2} .0244476{col 68}{space 1}    4.80{col 77}{space 3}0.000{col 85}{space 4} .0695341{col 98}{space 3} .1653668
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .0974937{col 57}{space 2} .0218754{col 68}{space 1}    4.46{col 77}{space 3}0.000{col 85}{space 4} .0546188{col 98}{space 3} .1403687
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .0776996{col 57}{space 2} .0250229{col 68}{space 1}    3.11{col 77}{space 3}0.002{col 85}{space 4} .0286557{col 98}{space 3} .1267435
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2} .0173146{col 57}{space 2} .0233807{col 68}{space 1}    0.74{col 77}{space 3}0.459{col 85}{space 4}-.0285109{col 98}{space 3}   .06314
{txt}{space 38}white {c |}{col 45}{res}{space 2} .0680881{col 57}{space 2} .0168518{col 68}{space 1}    4.04{col 77}{space 3}0.000{col 85}{space 4} .0350593{col 98}{space 3}  .101117
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0163885{col 57}{space 2} .0161987{col 68}{space 1}   -1.01{col 77}{space 3}0.312{col 85}{space 4}-.0481373{col 98}{space 3} .0153603
{txt}{space 38}age01 {c |}{col 45}{res}{space 2}-.0126323{col 57}{space 2} .0408214{col 68}{space 1}   -0.31{col 77}{space 3}0.757{col 85}{space 4}-.0926407{col 98}{space 3} .0673761
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} .0176357{col 57}{space 2} .0245758{col 68}{space 1}    0.72{col 77}{space 3}0.473{col 85}{space 4}-.0305321{col 98}{space 3} .0658034
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .0187737{col 57}{space 2} .0372193{col 68}{space 1}    0.50{col 77}{space 3}0.614{col 85}{space 4}-.0541748{col 98}{space 3} .0917223
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .2001747{col 57}{space 2}  .045053{col 68}{space 1}    4.44{col 77}{space 3}0.000{col 85}{space 4} .1118725{col 98}{space 3} .2884768
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.2499929{col 57}{space 2} .0521488{col 68}{space 1}   -4.79{col 77}{space 3}0.000{col 85}{space 4}-.3522027{col 98}{space 3}-.1477831
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1271603{col 57}{space 2} .0250638{col 68}{space 1}    5.07{col 77}{space 3}0.000{col 85}{space 4} .0780361{col 98}{space 3} .1762844
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .2218057{col 57}{space 2} .0444893{col 68}{space 1}    4.99{col 77}{space 3}0.000{col 85}{space 4} .1346082{col 98}{space 3} .3090032
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Measurement                                {col 45}{txt}{c |}
{space 2}{col 3}P113                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 2.074613{col 57}{space 2} .0288632{col 68}{space 1}   71.88{col 77}{space 3}0.000{col 85}{space 4} 2.018042{col 98}{space 3} 2.131184
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P114                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-1.300922{col 57}{space 2} .1336897{col 68}{space 1}   -9.73{col 77}{space 3}0.000{col 85}{space 4}-1.562949{col 98}{space 3}-1.038895
{txt}{space 38}_cons {c |}{col 45}{res}{space 2}  3.00791{col 57}{space 2} .0272099{col 68}{space 1}  110.54{col 77}{space 3}0.000{col 85}{space 4}  2.95458{col 98}{space 3} 3.061241
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P116                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}  -1.3405{col 57}{space 2} .1354298{col 68}{space 1}   -9.90{col 77}{space 3}0.000{col 85}{space 4}-1.605938{col 98}{space 3}-1.075063
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.849346{col 57}{space 2} .0296854{col 68}{space 1}   95.98{col 77}{space 3}0.000{col 85}{space 4} 2.791164{col 98}{space 3} 2.907529
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p107_wrldiswhatis                   {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 3.184011{col 57}{space 2} .0304317{col 68}{space 1}  104.63{col 77}{space 3}0.000{col 85}{space 4} 3.124366{col 98}{space 3} 3.243656
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P108                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2}-.7000196{col 57}{space 2} .0809222{col 68}{space 1}   -8.65{col 77}{space 3}0.000{col 85}{space 4}-.8586242{col 98}{space 3} -.541415
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 1.944073{col 57}{space 2}  .029376{col 68}{space 1}   66.18{col 77}{space 3}0.000{col 85}{space 4} 1.886497{col 98}{space 3} 2.001649
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P109                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2} 1.131121{col 57}{space 2} .1207789{col 68}{space 1}    9.37{col 77}{space 3}0.000{col 85}{space 4} .8943991{col 98}{space 3} 1.367844
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.567646{col 57}{space 2} .0309121{col 68}{space 1}   83.06{col 77}{space 3}0.000{col 85}{space 4}  2.50706{col 98}{space 3} 2.628233
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P110                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2} .7340101{col 57}{space 2} .0846305{col 68}{space 1}    8.67{col 77}{space 3}0.000{col 85}{space 4} .5681374{col 98}{space 3} .8998827
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.513358{col 57}{space 2}  .030084{col 68}{space 1}   83.54{col 77}{space 3}0.000{col 85}{space 4} 2.454394{col 98}{space 3} 2.572321
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p106_amerwayfine                    {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 2.847323{col 57}{space 2}  .034614{col 68}{space 1}   82.26{col 77}{space 3}0.000{col 85}{space 4}  2.77948{col 98}{space 3} 2.915165
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P101                                     {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2} .6866861{col 57}{space 2} .0460977{col 68}{space 1}   14.90{col 77}{space 3}0.000{col 85}{space 4} .5963362{col 98}{space 3}  .777036
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.095088{col 57}{space 2} .0310097{col 68}{space 1}   99.81{col 77}{space 3}0.000{col 85}{space 4}  3.03431{col 98}{space 3} 3.155866
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P103                                     {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2} .7519414{col 57}{space 2} .0455642{col 68}{space 1}   16.50{col 77}{space 3}0.000{col 85}{space 4} .6626371{col 98}{space 3} .8412456
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.077444{col 57}{space 2} .0308272{col 68}{space 1}   99.83{col 77}{space 3}0.000{col 85}{space 4} 3.017024{col 98}{space 3} 3.137865
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}mean(valu_coopselfreli01){c |}{col 45}{res}{space 2} .5111253{col 57}{space 2} .0111267{col 68}{space 1}   45.94{col 77}{space 3}0.000{col 85}{space 4} .4893173{col 98}{space 3} .5329333
{txt}{space 21}mean(valu_knowlfaith01){c |}{col 45}{res}{space 2}  .479386{col 57}{space 2} .0122369{col 68}{space 1}   39.18{col 77}{space 3}0.000{col 85}{space 4} .4554021{col 98}{space 3} .5033699
{txt}{space 19}mean(valu_peaceprotect01){c |}{col 45}{res}{space 2} .5664492{col 57}{space 2} .0123633{col 68}{space 1}   45.82{col 77}{space 3}0.000{col 85}{space 4} .5422176{col 98}{space 3} .5906807
{txt}{space 21}mean(valu_kinddiscip01){c |}{col 45}{res}{space 2} .4127732{col 57}{space 2} .0108536{col 68}{space 1}   38.03{col 77}{space 3}0.000{col 85}{space 4} .3915005{col 98}{space 3} .4340458
{txt}{space 33}mean(white){c |}{col 45}{res}{space 2}     .716{col 57}{space 2} .0142599{col 68}{space 1}   50.21{col 77}{space 3}0.000{col 85}{space 4} .6880511{col 98}{space 3} .7439488
{txt}{space 32}mean(female){c |}{col 45}{res}{space 2}    1.539{col 57}{space 2} .0157632{col 68}{space 1}   97.63{col 77}{space 3}0.000{col 85}{space 4} 1.508105{col 98}{space 3} 1.569895
{txt}{space 33}mean(age01){c |}{col 45}{res}{space 2} .4304722{col 57}{space 2} .0075017{col 68}{space 1}   57.38{col 77}{space 3}0.000{col 85}{space 4} .4157692{col 98}{space 3} .4451752
{txt}{space 32}mean(educ01){c |}{col 45}{res}{space 2}    .5186{col 57}{space 2}  .009341{col 68}{space 1}   55.52{col 77}{space 3}0.000{col 85}{space 4}  .500292{col 98}{space 3}  .536908
{txt}{space 30}mean(faminc01){c |}{col 45}{res}{space 2} .3505891{col 57}{space 2} .0063232{col 68}{space 1}   55.44{col 77}{space 3}0.000{col 85}{space 4} .3381958{col 98}{space 3} .3629825
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}var(e.P113){c |}{col 45}{res}{space 2} .5466694{col 57}{space 2} .0311535{col 85}{space 4} .4888962{col 98}{space 3} .6112697
{txt}{space 33}var(e.P114){c |}{col 45}{res}{space 2} .3522795{col 57}{space 2} .0278422{col 85}{space 4} .3017263{col 98}{space 3} .4113028
{txt}{space 33}var(e.P116){c |}{col 45}{res}{space 2} .4589498{col 57}{space 2} .0327604{col 85}{space 4} .3990299{col 98}{space 3} .5278675
{txt}{space 15}var(e.prem_p107_wrldiswhatis){c |}{col 45}{res}{space 2} .5762648{col 57}{space 2} .0384472{col 85}{space 4} .5056287{col 98}{space 3} .6567689
{txt}{space 33}var(e.P108){c |}{col 45}{res}{space 2} .6350061{col 57}{space 2} .0345979{col 85}{space 4} .5706906{col 98}{space 3} .7065698
{txt}{space 33}var(e.P109){c |}{col 45}{res}{space 2} .5380006{col 57}{space 2} .0351401{col 85}{space 4} .4733535{col 98}{space 3} .6114767
{txt}{space 33}var(e.P110){c |}{col 45}{res}{space 2} .6591194{col 57}{space 2} .0360933{col 85}{space 4} .5920418{col 98}{space 3} .7337969
{txt}{space 16}var(e.prem_p106_amerwayfine){c |}{col 45}{res}{space 2} .4309662{col 57}{space 2} .0358889{col 85}{space 4} .3660657{col 98}{space 3}  .507373
{txt}{space 33}var(e.P101){c |}{col 45}{res}{space 2} .5478727{col 57}{space 2} .0308555{col 85}{space 4} .4906152{col 98}{space 3} .6118124
{txt}{space 33}var(e.P103){c |}{col 45}{res}{space 2} .4765925{col 57}{space 2} .0288117{col 85}{space 4} .4233397{col 98}{space 3}  .536544
{txt}{space 30}var(e.ideo301){c |}{col 45}{res}{space 2} .0747192{col 57}{space 2} .0047507{col 85}{space 4} .0659649{col 98}{space 3} .0846354
{txt}{space 16}var(e.ideolissuesfactor1601){c |}{col 45}{res}{space 2} .0189483{col 57}{space 2} .0018265{col 85}{space 4} .0156863{col 98}{space 3} .0228886
{txt}{space 20}var(valu_coopselfreli01){c |}{col 45}{res}{space 2} .1228268{col 57}{space 2} .0055179{col 85}{space 4} .1124745{col 98}{space 3}  .134132
{txt}{space 22}var(valu_knowlfaith01){c |}{col 45}{res}{space 2} .1485064{col 57}{space 2} .0066714{col 85}{space 4} .1359898{col 98}{space 3} .1621751
{txt}{space 20}var(valu_peaceprotect01){c |}{col 45}{res}{space 2} .1520041{col 57}{space 2} .0068177{col 85}{space 4} .1392121{col 98}{space 3} .1659715
{txt}{space 22}var(valu_kinddiscip01){c |}{col 45}{res}{space 2}  .117117{col 57}{space 2} .0052526{col 85}{space 4} .1072616{col 98}{space 3}  .127878
{txt}{space 34}var(white){c |}{col 45}{res}{space 2}  .203344{col 57}{space 2} .0090938{col 85}{space 4} .1862792{col 98}{space 3}  .221972
{txt}{space 33}var(female){c |}{col 45}{res}{space 2}  .248479{col 57}{space 2} .0111123{col 85}{space 4} .2276265{col 98}{space 3} .2712417
{txt}{space 34}var(age01){c |}{col 45}{res}{space 2}  .056275{col 57}{space 2} .0025167{col 85}{space 4} .0515524{col 98}{space 3} .0614303
{txt}{space 33}var(educ01){c |}{col 45}{res}{space 2}  .087254{col 57}{space 2} .0039021{col 85}{space 4} .0799316{col 98}{space 3} .0952472
{txt}{space 31}var(faminc01){c |}{col 45}{res}{space 2} .0399833{col 57}{space 2} .0017881{col 85}{space 4} .0366279{col 98}{space 3} .0436461
{txt}{space 30}var(humnature){c |}{col 45}{res}{space 2} .1640873{col 57}{space 2} .0273873{col 85}{space 4} .1183051{col 98}{space 3} .2275865
{txt}{space 31}var(progress){c |}{col 45}{res}{space 2}  .224943{col 57}{space 2} .0377292{col 85}{space 4} .1619206{col 98}{space 3} .3124947
{txt}{space 22}var(societyfragstable){c |}{col 45}{res}{space 2}  .618942{col 57}{space 2} .0545119{col 85}{space 4} .5208136{col 98}{space 3} .7355591
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}cov(valu_coopselfreli01,valu_knowlfaith01){c |}{col 45}{res}{space 2} .0041204{col 57}{space 2} .0043077{col 68}{space 1}    0.96{col 77}{space 3}0.339{col 85}{space 4}-.0043226{col 98}{space 3} .0125634
{txt}cov(valu_coopselfreli01,valu_peaceprotect01){c |}{col 45}{res}{space 2} .0406705{col 57}{space 2} .0045389{col 68}{space 1}    8.96{col 77}{space 3}0.000{col 85}{space 4} .0317743{col 98}{space 3} .0495666
{txt}{space 2}cov(valu_coopselfreli01,valu_kinddiscip01){c |}{col 45}{res}{space 2} .0444407{col 57}{space 2}  .004066{col 68}{space 1}   10.93{col 77}{space 3}0.000{col 85}{space 4} .0364714{col 98}{space 3}   .05241
{txt}{space 14}cov(valu_coopselfreli01,white){c |}{col 45}{res}{space 2} .0169732{col 57}{space 2} .0050416{col 68}{space 1}    3.37{col 77}{space 3}0.001{col 85}{space 4} .0070918{col 98}{space 3} .0268545
{txt}{space 13}cov(valu_coopselfreli01,female){c |}{col 45}{res}{space 2}-.0162185{col 57}{space 2} .0055694{col 68}{space 1}   -2.91{col 77}{space 3}0.004{col 85}{space 4}-.0271343{col 98}{space 3}-.0053028
{txt}{space 14}cov(valu_coopselfreli01,age01){c |}{col 45}{res}{space 2} .0116098{col 57}{space 2} .0026639{col 68}{space 1}    4.36{col 77}{space 3}0.000{col 85}{space 4} .0063887{col 98}{space 3} .0168309
{txt}{space 13}cov(valu_coopselfreli01,educ01){c |}{col 45}{res}{space 2} .0063483{col 57}{space 2} .0032967{col 68}{space 1}    1.93{col 77}{space 3}0.054{col 85}{space 4}-.0001131{col 98}{space 3} .0128097
{txt}{space 11}cov(valu_coopselfreli01,faminc01){c |}{col 45}{res}{space 2} .0092585{col 57}{space 2} .0022414{col 68}{space 1}    4.13{col 77}{space 3}0.000{col 85}{space 4} .0048653{col 98}{space 3} .0136516
{txt}{space 10}cov(valu_coopselfreli01,humnature){c |}{col 45}{res}{space 2}-.0197014{col 57}{space 2} .0064654{col 68}{space 1}   -3.05{col 77}{space 3}0.002{col 85}{space 4}-.0323733{col 98}{space 3}-.0070295
{txt}{space 11}cov(valu_coopselfreli01,progress){c |}{col 45}{res}{space 2} -.058944{col 57}{space 2} .0086316{col 68}{space 1}   -6.83{col 77}{space 3}0.000{col 85}{space 4}-.0758617{col 98}{space 3}-.0420263
{txt}{space 2}cov(valu_coopselfreli01,societyfragstable){c |}{col 45}{res}{space 2} .0867771{col 57}{space 2} .0114666{col 68}{space 1}    7.57{col 77}{space 3}0.000{col 85}{space 4}  .064303{col 98}{space 3} .1092511
{txt}{space 2}cov(valu_knowlfaith01,valu_peaceprotect01){c |}{col 45}{res}{space 2} .0242732{col 57}{space 2} .0048478{col 68}{space 1}    5.01{col 77}{space 3}0.000{col 85}{space 4} .0147717{col 98}{space 3} .0337747
{txt}{space 4}cov(valu_knowlfaith01,valu_kinddiscip01){c |}{col 45}{res}{space 2}  .006065{col 57}{space 2}  .004216{col 68}{space 1}    1.44{col 77}{space 3}0.150{col 85}{space 4}-.0021981{col 98}{space 3} .0143281
{txt}{space 16}cov(valu_knowlfaith01,white){c |}{col 45}{res}{space 2}-.0217189{col 57}{space 2}  .005569{col 68}{space 1}   -3.90{col 77}{space 3}0.000{col 85}{space 4} -.032634{col 98}{space 3}-.0108038
{txt}{space 15}cov(valu_knowlfaith01,female){c |}{col 45}{res}{space 2} .0236142{col 57}{space 2} .0061463{col 68}{space 1}    3.84{col 77}{space 3}0.000{col 85}{space 4} .0115677{col 98}{space 3} .0356607
{txt}{space 16}cov(valu_knowlfaith01,age01){c |}{col 45}{res}{space 2} .0137609{col 57}{space 2} .0029338{col 68}{space 1}    4.69{col 77}{space 3}0.000{col 85}{space 4} .0080108{col 98}{space 3}  .019511
{txt}{space 15}cov(valu_knowlfaith01,educ01){c |}{col 45}{res}{space 2}-.0140626{col 57}{space 2} .0036404{col 68}{space 1}   -3.86{col 77}{space 3}0.000{col 85}{space 4}-.0211977{col 98}{space 3}-.0069275
{txt}{space 13}cov(valu_knowlfaith01,faminc01){c |}{col 45}{res}{space 2} -.005467{col 57}{space 2} .0024469{col 68}{space 1}   -2.23{col 77}{space 3}0.025{col 85}{space 4}-.0102628{col 98}{space 3}-.0006713
{txt}{space 12}cov(valu_knowlfaith01,humnature){c |}{col 45}{res}{space 2}-.0003296{col 57}{space 2} .0067395{col 68}{space 1}   -0.05{col 77}{space 3}0.961{col 85}{space 4}-.0135387{col 98}{space 3} .0128794
{txt}{space 13}cov(valu_knowlfaith01,progress){c |}{col 45}{res}{space 2}-.0179647{col 57}{space 2} .0083375{col 68}{space 1}   -2.15{col 77}{space 3}0.031{col 85}{space 4} -.034306{col 98}{space 3}-.0016235
{txt}{space 4}cov(valu_knowlfaith01,societyfragstable){c |}{col 45}{res}{space 2} .0990757{col 57}{space 2} .0126845{col 68}{space 1}    7.81{col 77}{space 3}0.000{col 85}{space 4} .0742145{col 98}{space 3} .1239369
{txt}{space 2}cov(valu_peaceprotect01,valu_kinddiscip01){c |}{col 45}{res}{space 2} .0303311{col 57}{space 2} .0043515{col 68}{space 1}    6.97{col 77}{space 3}0.000{col 85}{space 4} .0218024{col 98}{space 3} .0388598
{txt}{space 14}cov(valu_peaceprotect01,white){c |}{col 45}{res}{space 2} .0294579{col 57}{space 2} .0056594{col 68}{space 1}    5.21{col 77}{space 3}0.000{col 85}{space 4} .0183658{col 98}{space 3}   .04055
{txt}{space 13}cov(valu_peaceprotect01,female){c |}{col 45}{res}{space 2}-.0388228{col 57}{space 2}  .006284{col 68}{space 1}   -6.18{col 77}{space 3}0.000{col 85}{space 4}-.0511391{col 98}{space 3}-.0265064
{txt}{space 14}cov(valu_peaceprotect01,age01){c |}{col 45}{res}{space 2} .0254348{col 57}{space 2} .0030371{col 68}{space 1}    8.37{col 77}{space 3}0.000{col 85}{space 4} .0194822{col 98}{space 3} .0313874
{txt}{space 13}cov(valu_peaceprotect01,educ01){c |}{col 45}{res}{space 2}-.0039942{col 57}{space 2} .0036511{col 68}{space 1}   -1.09{col 77}{space 3}0.274{col 85}{space 4}-.0111501{col 98}{space 3} .0031617
{txt}{space 11}cov(valu_peaceprotect01,faminc01){c |}{col 45}{res}{space 2} .0098444{col 57}{space 2} .0024893{col 68}{space 1}    3.95{col 77}{space 3}0.000{col 85}{space 4} .0049655{col 98}{space 3} .0147232
{txt}{space 10}cov(valu_peaceprotect01,humnature){c |}{col 45}{res}{space 2}-.0036594{col 57}{space 2} .0068565{col 68}{space 1}   -0.53{col 77}{space 3}0.594{col 85}{space 4}-.0170978{col 98}{space 3} .0097791
{txt}{space 11}cov(valu_peaceprotect01,progress){c |}{col 45}{res}{space 2}-.0580325{col 57}{space 2} .0093488{col 68}{space 1}   -6.21{col 77}{space 3}0.000{col 85}{space 4}-.0763558{col 98}{space 3}-.0397092
{txt}{space 2}cov(valu_peaceprotect01,societyfragstable){c |}{col 45}{res}{space 2} .1327511{col 57}{space 2} .0133061{col 68}{space 1}    9.98{col 77}{space 3}0.000{col 85}{space 4} .1066716{col 98}{space 3} .1588306
{txt}{space 16}cov(valu_kinddiscip01,white){c |}{col 45}{res}{space 2}-.0017725{col 57}{space 2}  .004886{col 68}{space 1}   -0.36{col 77}{space 3}0.717{col 85}{space 4}-.0113489{col 98}{space 3}  .007804
{txt}{space 15}cov(valu_kinddiscip01,female){c |}{col 45}{res}{space 2}-.0228407{col 57}{space 2} .0054588{col 68}{space 1}   -4.18{col 77}{space 3}0.000{col 85}{space 4}-.0335396{col 98}{space 3}-.0121417
{txt}{space 16}cov(valu_kinddiscip01,age01){c |}{col 45}{res}{space 2} .0052414{col 57}{space 2} .0025751{col 68}{space 1}    2.04{col 77}{space 3}0.042{col 85}{space 4} .0001942{col 98}{space 3} .0102886
{txt}{space 15}cov(valu_kinddiscip01,educ01){c |}{col 45}{res}{space 2} .0052288{col 57}{space 2} .0032087{col 68}{space 1}    1.63{col 77}{space 3}0.103{col 85}{space 4}-.0010602{col 98}{space 3} .0115178
{txt}{space 13}cov(valu_kinddiscip01,faminc01){c |}{col 45}{res}{space 2}  .002479{col 57}{space 2} .0021682{col 68}{space 1}    1.14{col 77}{space 3}0.253{col 85}{space 4}-.0017706{col 98}{space 3} .0067287
{txt}{space 12}cov(valu_kinddiscip01,humnature){c |}{col 45}{res}{space 2}-.0134062{col 57}{space 2} .0061116{col 68}{space 1}   -2.19{col 77}{space 3}0.028{col 85}{space 4}-.0253848{col 98}{space 3}-.0014276
{txt}{space 13}cov(valu_kinddiscip01,progress){c |}{col 45}{res}{space 2} -.050923{col 57}{space 2} .0081604{col 68}{space 1}   -6.24{col 77}{space 3}0.000{col 85}{space 4}-.0669171{col 98}{space 3}-.0349289
{txt}{space 4}cov(valu_kinddiscip01,societyfragstable){c |}{col 45}{res}{space 2} .0598312{col 57}{space 2} .0108502{col 68}{space 1}    5.51{col 77}{space 3}0.000{col 85}{space 4} .0385652{col 98}{space 3} .0810972
{txt}{space 27}cov(white,female){c |}{col 45}{res}{space 2} -.019924{col 57}{space 2} .0071361{col 68}{space 1}   -2.79{col 77}{space 3}0.005{col 85}{space 4}-.0339105{col 98}{space 3}-.0059375
{txt}{space 28}cov(white,age01){c |}{col 45}{res}{space 2}  .029393{col 57}{space 2} .0035082{col 68}{space 1}    8.38{col 77}{space 3}0.000{col 85}{space 4} .0225171{col 98}{space 3} .0362688
{txt}{space 27}cov(white,educ01){c |}{col 45}{res}{space 2}-.0063176{col 57}{space 2} .0042169{col 68}{space 1}   -1.50{col 77}{space 3}0.134{col 85}{space 4}-.0145826{col 98}{space 3} .0019474
{txt}{space 25}cov(white,faminc01){c |}{col 45}{res}{space 2} .0121336{col 57}{space 2} .0028771{col 68}{space 1}    4.22{col 77}{space 3}0.000{col 85}{space 4} .0064946{col 98}{space 3} .0177725
{txt}{space 24}cov(white,humnature){c |}{col 45}{res}{space 2}-.0035974{col 57}{space 2} .0082394{col 68}{space 1}   -0.44{col 77}{space 3}0.662{col 85}{space 4}-.0197464{col 98}{space 3} .0125516
{txt}{space 25}cov(white,progress){c |}{col 45}{res}{space 2}-.0134957{col 57}{space 2} .0101558{col 68}{space 1}   -1.33{col 77}{space 3}0.184{col 85}{space 4}-.0334007{col 98}{space 3} .0064094
{txt}{space 16}cov(white,societyfragstable){c |}{col 45}{res}{space 2} .0441626{col 57}{space 2} .0146736{col 68}{space 1}    3.01{col 77}{space 3}0.003{col 85}{space 4} .0154028{col 98}{space 3} .0729225
{txt}{space 27}cov(female,age01){c |}{col 45}{res}{space 2}-.0190801{col 57}{space 2} .0037878{col 68}{space 1}   -5.04{col 77}{space 3}0.000{col 85}{space 4} -.026504{col 98}{space 3}-.0116562
{txt}{space 26}cov(female,educ01){c |}{col 45}{res}{space 2}-.0125254{col 57}{space 2} .0046731{col 68}{space 1}   -2.68{col 77}{space 3}0.007{col 85}{space 4}-.0216844{col 98}{space 3}-.0033663
{txt}{space 24}cov(female,faminc01){c |}{col 45}{res}{space 2}-.0123024{col 57}{space 2} .0031759{col 68}{space 1}   -3.87{col 77}{space 3}0.000{col 85}{space 4} -.018527{col 98}{space 3}-.0060777
{txt}{space 23}cov(female,humnature){c |}{col 45}{res}{space 2}-.0056385{col 57}{space 2} .0086525{col 68}{space 1}   -0.65{col 77}{space 3}0.515{col 85}{space 4}-.0225972{col 98}{space 3} .0113201
{txt}{space 24}cov(female,progress){c |}{col 45}{res}{space 2} .0451075{col 57}{space 2} .0115419{col 68}{space 1}    3.91{col 77}{space 3}0.000{col 85}{space 4} .0224858{col 98}{space 3} .0677292
{txt}{space 15}cov(female,societyfragstable){c |}{col 45}{res}{space 2}-.0181136{col 57}{space 2} .0153989{col 68}{space 1}   -1.18{col 77}{space 3}0.239{col 85}{space 4}-.0482948{col 98}{space 3} .0120677
{txt}{space 27}cov(age01,educ01){c |}{col 45}{res}{space 2}-.0029346{col 57}{space 2} .0022178{col 68}{space 1}   -1.32{col 77}{space 3}0.186{col 85}{space 4}-.0072815{col 98}{space 3} .0014123
{txt}{space 25}cov(age01,faminc01){c |}{col 45}{res}{space 2} .0046607{col 57}{space 2} .0015072{col 68}{space 1}    3.09{col 77}{space 3}0.002{col 85}{space 4} .0017066{col 98}{space 3} .0076149
{txt}{space 24}cov(age01,humnature){c |}{col 45}{res}{space 2} .0098041{col 57}{space 2} .0043243{col 68}{space 1}    2.27{col 77}{space 3}0.023{col 85}{space 4} .0013285{col 98}{space 3} .0182796
{txt}{space 25}cov(age01,progress){c |}{col 45}{res}{space 2} .0085668{col 57}{space 2} .0052734{col 68}{space 1}    1.62{col 77}{space 3}0.104{col 85}{space 4}-.0017689{col 98}{space 3} .0189025
{txt}{space 16}cov(age01,societyfragstable){c |}{col 45}{res}{space 2} .0512007{col 57}{space 2} .0078168{col 68}{space 1}    6.55{col 77}{space 3}0.000{col 85}{space 4} .0358801{col 98}{space 3} .0665214
{txt}{space 24}cov(educ01,faminc01){c |}{col 45}{res}{space 2} .0194815{col 57}{space 2} .0019668{col 68}{space 1}    9.91{col 77}{space 3}0.000{col 85}{space 4} .0156267{col 98}{space 3} .0233363
{txt}{space 23}cov(educ01,humnature){c |}{col 45}{res}{space 2} .0026771{col 57}{space 2}  .005129{col 68}{space 1}    0.52{col 77}{space 3}0.602{col 85}{space 4}-.0073757{col 98}{space 3} .0127298
{txt}{space 24}cov(educ01,progress){c |}{col 45}{res}{space 2} .0004608{col 57}{space 2} .0064014{col 68}{space 1}    0.07{col 77}{space 3}0.943{col 85}{space 4}-.0120856{col 98}{space 3} .0130072
{txt}{space 15}cov(educ01,societyfragstable){c |}{col 45}{res}{space 2}-.0168615{col 57}{space 2}  .009138{col 68}{space 1}   -1.85{col 77}{space 3}0.065{col 85}{space 4}-.0347716{col 98}{space 3} .0010485
{txt}{space 21}cov(faminc01,humnature){c |}{col 45}{res}{space 2} .0082981{col 57}{space 2}  .003564{col 68}{space 1}    2.33{col 77}{space 3}0.020{col 85}{space 4} .0013127{col 98}{space 3} .0152835
{txt}{space 22}cov(faminc01,progress){c |}{col 45}{res}{space 2} .0011022{col 57}{space 2} .0043269{col 68}{space 1}    0.25{col 77}{space 3}0.799{col 85}{space 4}-.0073783{col 98}{space 3} .0095827
{txt}{space 13}cov(faminc01,societyfragstable){c |}{col 45}{res}{space 2} -.002899{col 57}{space 2} .0061703{col 68}{space 1}   -0.47{col 77}{space 3}0.638{col 85}{space 4}-.0149926{col 98}{space 3} .0091946
{txt}{space 21}cov(humnature,progress){c |}{col 45}{res}{space 2} .0968728{col 57}{space 2} .0145644{col 68}{space 1}    6.65{col 77}{space 3}0.000{col 85}{space 4} .0683271{col 98}{space 3} .1254185
{txt}{space 12}cov(humnature,societyfragstable){c |}{col 45}{res}{space 2}-.1500331{col 57}{space 2} .0216996{col 68}{space 1}   -6.91{col 77}{space 3}0.000{col 85}{space 4}-.1925635{col 98}{space 3}-.1075027
{txt}{space 13}cov(progress,societyfragstable){c |}{col 45}{res}{space 2}-.1731501{col 57}{space 2} .0231713{col 68}{space 1}   -7.47{col 77}{space 3}0.000{col 85}{space 4}-.2185649{col 98}{space 3}-.1277352
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of model vs. saturated: chi2({res:110}) = {res:   364.85}, Prob > chi2 = {res}0.0000
{txt}
{com}. estat gof, stats(indices)
{res}
{txt}{hline 21}{c TT}{hline 54}
{lalign 21:Fit statistic}{c |}      Value   Description
{hline 21}{c +}{hline 54}
{lalign 21:Baseline comparison}{c |}
{ralign 20:CFI} {c |} {res}{ralign 10:     0.916}{txt}   Comparative fit index
{ralign 20:TLI} {c |} {res}{ralign 10:     0.867}{txt}   Tucker-Lewis index
{hline 21}{c BT}{hline 54}

{com}. 
. * Next, an alternative model that does not differentiate the premises:
. sem (humnature -> P113 P114 P116 prem_p107_wrldiswhatis P108  P109 prem_p106_amerwayfine P101 P103 ) (valu_coopselfreli01) (valu_knowlfaith01) (valu_peaceprotect01) (valu_kinddiscip01) ( ideo301 ideolissuesfactor1601 <- humnature valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01), latent (humnature) method (mlmv) nocapslatent
{res}{txt}
Endogenous variables

{p 0 14 2}Observed:{space 5}{res}ideo301 ideolissuesfactor1601{p_end}
{txt}{p 0 14 2}Measurement:{space 2}{res}P113 P114 P116 prem_p107_wrldiswhatis P108 P109 prem_p106_amerwayfine P101 P103{p_end}
{txt}
Exogenous variables

{p 0 14 2}Observed:{space 5}{res}valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01{p_end}
{txt}{p 0 14 2}Latent:{space 7}{res}humnature{p_end}
{txt}
Fitting saturated model:

Iteration 0:{space 3}log likelihood = {res: -11673.54}  
Iteration 1:{space 3}log likelihood = {res:-11606.502}  
Iteration 2:{space 3}log likelihood = {res:-11601.491}  
Iteration 3:{space 3}log likelihood = {res:-11601.481}  
Iteration 4:{space 3}log likelihood = {res:-11601.481}  

Fitting baseline model:

Iteration 0:{space 3}log likelihood = {res:-13126.426}  
Iteration 1:{space 3}log likelihood = {res:-13124.794}  
Iteration 2:{space 3}log likelihood = {res:-13124.793}  
Iteration 3:{space 3}log likelihood = {res:-13124.793}  
{res}{txt}
Fitting conditional model:

Iteration 0:{space 3}log likelihood = {res:-12393.009}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-12303.084}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-12104.261}  
Iteration 3:{space 3}log likelihood = {res:-12027.179}  
Iteration 4:{space 3}log likelihood = {res:-12000.457}  
Iteration 5:{space 3}log likelihood = {res:-11989.403}  
Iteration 6:{space 3}log likelihood = {res:-11988.213}  
Iteration 7:{space 3}log likelihood = {res:-11988.034}  
Iteration 8:{space 3}log likelihood = {res:-11988.029}  
Iteration 9:{space 3}log likelihood = {res:-11988.029}  
{txt}
Fitting target model:

Iteration 0:{space 3}log likelihood = {res:-11988.029}  
Iteration 1:{space 3}log likelihood = {res:-11988.027}  
Iteration 2:{space 3}log likelihood = {res:-11988.027}  

{col 1}Structural equation model{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 1}Estimation method{col 20}= {res}mlmv
{txt}{col 1}Log likelihood{col 20}= {res}-11988.027

{p 0 7}{space 1}{text:( 1)}{space 1} [P113]humnature = 1{p_end}
{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}      OIM
{col 45}{c |}      Coef.{col 57}   Std. Err.{col 69}      z{col 77}   P>|z|{col 85}     [95% Con{col 98}f. Interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural                                 {col 45}{txt}{c |}
{space 2}{col 3}ideo301                                  {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2} .1446045{col 57}{space 2} .0342113{col 68}{space 1}    4.23{col 77}{space 3}0.000{col 85}{space 4} .0775515{col 98}{space 3} .2116574
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .3037274{col 57}{space 2} .0296753{col 68}{space 1}   10.24{col 77}{space 3}0.000{col 85}{space 4} .2455648{col 98}{space 3}   .36189
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .1326157{col 57}{space 2} .0317374{col 68}{space 1}    4.18{col 77}{space 3}0.000{col 85}{space 4} .0704115{col 98}{space 3} .1948199
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2}  .100229{col 57}{space 2} .0329611{col 68}{space 1}    3.04{col 77}{space 3}0.002{col 85}{space 4} .0356264{col 98}{space 3} .1648315
{txt}{space 38}white {c |}{col 45}{res}{space 2} .0708722{col 57}{space 2} .0245451{col 68}{space 1}    2.89{col 77}{space 3}0.004{col 85}{space 4} .0227647{col 98}{space 3} .1189797
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0355559{col 57}{space 2}  .021302{col 68}{space 1}   -1.67{col 77}{space 3}0.095{col 85}{space 4} -.077307{col 98}{space 3} .0061952
{txt}{space 38}age01 {c |}{col 45}{res}{space 2}-.0015625{col 57}{space 2} .0472778{col 68}{space 1}   -0.03{col 77}{space 3}0.974{col 85}{space 4}-.0942253{col 98}{space 3} .0911003
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} -.008886{col 57}{space 2} .0368263{col 68}{space 1}   -0.24{col 77}{space 3}0.809{col 85}{space 4}-.0810643{col 98}{space 3} .0632923
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .0521704{col 57}{space 2} .0551978{col 68}{space 1}    0.95{col 77}{space 3}0.345{col 85}{space 4}-.0560153{col 98}{space 3} .1603561
{txt}{space 34}humnature {c |}{col 45}{res}{space 2}-.3823796{col 57}{space 2}  .066485{col 68}{space 1}   -5.75{col 77}{space 3}0.000{col 85}{space 4}-.5126879{col 98}{space 3}-.2520714
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .1838467{col 57}{space 2} .0569097{col 68}{space 1}    3.23{col 77}{space 3}0.001{col 85}{space 4} .0723058{col 98}{space 3} .2953876
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}ideolissuesfactor1601                    {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2}   .15184{col 57}{space 2} .0205028{col 68}{space 1}    7.41{col 77}{space 3}0.000{col 85}{space 4} .1116552{col 98}{space 3} .1920249
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .1328267{col 57}{space 2} .0175137{col 68}{space 1}    7.58{col 77}{space 3}0.000{col 85}{space 4} .0985006{col 98}{space 3} .1671528
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .1449824{col 57}{space 2} .0187869{col 68}{space 1}    7.72{col 77}{space 3}0.000{col 85}{space 4} .1081607{col 98}{space 3} .1818041
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2} .0533834{col 57}{space 2} .0195901{col 68}{space 1}    2.73{col 77}{space 3}0.006{col 85}{space 4} .0149876{col 98}{space 3} .0917792
{txt}{space 38}white {c |}{col 45}{res}{space 2} .0749848{col 57}{space 2} .0149369{col 68}{space 1}    5.02{col 77}{space 3}0.000{col 85}{space 4}  .045709{col 98}{space 3} .1042607
{txt}{space 37}female {c |}{col 45}{res}{space 2} -.050132{col 57}{space 2} .0128037{col 68}{space 1}   -3.92{col 77}{space 3}0.000{col 85}{space 4}-.0752268{col 98}{space 3}-.0250371
{txt}{space 38}age01 {c |}{col 45}{res}{space 2}-.0465695{col 57}{space 2} .0284603{col 68}{space 1}   -1.64{col 77}{space 3}0.102{col 85}{space 4}-.1023506{col 98}{space 3} .0092116
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2}  .016141{col 57}{space 2} .0217339{col 68}{space 1}    0.74{col 77}{space 3}0.458{col 85}{space 4}-.0264566{col 98}{space 3} .0587387
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .0338806{col 57}{space 2} .0331011{col 68}{space 1}    1.02{col 77}{space 3}0.306{col 85}{space 4}-.0309963{col 98}{space 3} .0987575
{txt}{space 34}humnature {c |}{col 45}{res}{space 2}-.3513831{col 57}{space 2} .0483751{col 68}{space 1}   -7.26{col 77}{space 3}0.000{col 85}{space 4}-.4461967{col 98}{space 3}-.2565696
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .1912551{col 57}{space 2} .0348339{col 68}{space 1}    5.49{col 77}{space 3}0.000{col 85}{space 4}  .122982{col 98}{space 3} .2595282
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Measurement                                {col 45}{txt}{c |}
{space 2}{col 3}P113                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 2.085296{col 57}{space 2} .0287598{col 68}{space 1}   72.51{col 77}{space 3}0.000{col 85}{space 4} 2.028928{col 98}{space 3} 2.141664
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P114                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-.8118605{col 57}{space 2} .1254321{col 68}{space 1}   -6.47{col 77}{space 3}0.000{col 85}{space 4}-1.057703{col 98}{space 3}-.5660182
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.998184{col 57}{space 2} .0270712{col 68}{space 1}  110.75{col 77}{space 3}0.000{col 85}{space 4} 2.945126{col 98}{space 3} 3.051243
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P116                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-.9384723{col 57}{space 2} .1395136{col 68}{space 1}   -6.73{col 77}{space 3}0.000{col 85}{space 4}-1.211914{col 98}{space 3}-.6650307
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.839055{col 57}{space 2} .0295266{col 68}{space 1}   96.15{col 77}{space 3}0.000{col 85}{space 4} 2.781184{col 98}{space 3} 2.896926
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p107_wrldiswhatis                   {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2} .8783274{col 57}{space 2} .1464583{col 68}{space 1}    6.00{col 77}{space 3}0.000{col 85}{space 4} .5912744{col 98}{space 3}  1.16538
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.189574{col 57}{space 2} .0305056{col 68}{space 1}  104.56{col 77}{space 3}0.000{col 85}{space 4} 3.129784{col 98}{space 3} 3.249364
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P108                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-.5412428{col 57}{space 2} .1250688{col 68}{space 1}   -4.33{col 77}{space 3}0.000{col 85}{space 4}-.7863732{col 98}{space 3}-.2961124
{txt}{space 38}_cons {c |}{col 45}{res}{space 2}  1.94162{col 57}{space 2} .0294158{col 68}{space 1}   66.01{col 77}{space 3}0.000{col 85}{space 4} 1.883966{col 98}{space 3} 1.999274
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P109                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2} 1.723518{col 57}{space 2} .2049416{col 68}{space 1}    8.41{col 77}{space 3}0.000{col 85}{space 4}  1.32184{col 98}{space 3} 2.125196
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.577471{col 57}{space 2} .0308706{col 68}{space 1}   83.49{col 77}{space 3}0.000{col 85}{space 4} 2.516965{col 98}{space 3} 2.637976
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p106_amerwayfine                    {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-2.517482{col 57}{space 2} .2847699{col 68}{space 1}   -8.84{col 77}{space 3}0.000{col 85}{space 4}-3.075621{col 98}{space 3}-1.959343
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.855267{col 57}{space 2} .0346401{col 68}{space 1}   82.43{col 77}{space 3}0.000{col 85}{space 4} 2.787374{col 98}{space 3} 2.923161
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P101                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-1.798081{col 57}{space 2} .2085768{col 68}{space 1}   -8.62{col 77}{space 3}0.000{col 85}{space 4}-2.206884{col 98}{space 3}-1.389278
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.099883{col 57}{space 2} .0309994{col 68}{space 1}  100.00{col 77}{space 3}0.000{col 85}{space 4} 3.039126{col 98}{space 3} 3.160641
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P103                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-1.921648{col 57}{space 2} .2227103{col 68}{space 1}   -8.63{col 77}{space 3}0.000{col 85}{space 4}-2.358152{col 98}{space 3}-1.485144
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.082912{col 57}{space 2} .0308364{col 68}{space 1}   99.98{col 77}{space 3}0.000{col 85}{space 4} 3.022474{col 98}{space 3}  3.14335
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}mean(valu_coopselfreli01){c |}{col 45}{res}{space 2} .5110042{col 57}{space 2} .0111277{col 68}{space 1}   45.92{col 77}{space 3}0.000{col 85}{space 4} .4891943{col 98}{space 3}  .532814
{txt}{space 21}mean(valu_knowlfaith01){c |}{col 45}{res}{space 2} .4794473{col 57}{space 2}  .012238{col 68}{space 1}   39.18{col 77}{space 3}0.000{col 85}{space 4} .4554613{col 98}{space 3} .5034334
{txt}{space 19}mean(valu_peaceprotect01){c |}{col 45}{res}{space 2} .5664321{col 57}{space 2} .0123658{col 68}{space 1}   45.81{col 77}{space 3}0.000{col 85}{space 4} .5421955{col 98}{space 3} .5906687
{txt}{space 21}mean(valu_kinddiscip01){c |}{col 45}{res}{space 2} .4127999{col 57}{space 2} .0108538{col 68}{space 1}   38.03{col 77}{space 3}0.000{col 85}{space 4} .3915267{col 98}{space 3}  .434073
{txt}{space 33}mean(white){c |}{col 45}{res}{space 2}     .716{col 57}{space 2} .0142599{col 68}{space 1}   50.21{col 77}{space 3}0.000{col 85}{space 4} .6880512{col 98}{space 3} .7439488
{txt}{space 32}mean(female){c |}{col 45}{res}{space 2}    1.539{col 57}{space 2} .0157632{col 68}{space 1}   97.63{col 77}{space 3}0.000{col 85}{space 4} 1.508105{col 98}{space 3} 1.569895
{txt}{space 33}mean(age01){c |}{col 45}{res}{space 2} .4304722{col 57}{space 2} .0075017{col 68}{space 1}   57.38{col 77}{space 3}0.000{col 85}{space 4} .4157692{col 98}{space 3} .4451752
{txt}{space 32}mean(educ01){c |}{col 45}{res}{space 2}    .5186{col 57}{space 2}  .009341{col 68}{space 1}   55.52{col 77}{space 3}0.000{col 85}{space 4}  .500292{col 98}{space 3}  .536908
{txt}{space 30}mean(faminc01){c |}{col 45}{res}{space 2} .3505891{col 57}{space 2} .0063232{col 68}{space 1}   55.44{col 77}{space 3}0.000{col 85}{space 4} .3381958{col 98}{space 3} .3629825
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}var(e.P113){c |}{col 45}{res}{space 2} .6237051{col 57}{space 2} .0313812{col 85}{space 4} .5651345{col 98}{space 3} .6883459
{txt}{space 33}var(e.P114){c |}{col 45}{res}{space 2} .5723018{col 57}{space 2} .0285826{col 85}{space 4} .5189355{col 98}{space 3} .6311562
{txt}{space 33}var(e.P116){c |}{col 45}{res}{space 2} .6766776{col 57}{space 2} .0337704{col 85}{space 4}  .613623{col 98}{space 3} .7462116
{txt}{space 15}var(e.prem_p107_wrldiswhatis){c |}{col 45}{res}{space 2} .7344741{col 57}{space 2} .0364532{col 85}{space 4} .6663922{col 98}{space 3} .8095116
{txt}{space 33}var(e.P108){c |}{col 45}{res}{space 2} .7194742{col 57}{space 2}  .035034{col 85}{space 4} .6539837{col 98}{space 3} .7915229
{txt}{space 33}var(e.P109){c |}{col 45}{res}{space 2} .5671518{col 57}{space 2} .0313137{col 85}{space 4} .5089823{col 98}{space 3} .6319693
{txt}{space 16}var(e.prem_p106_amerwayfine){c |}{col 45}{res}{space 2} .4966854{col 57}{space 2} .0343251{col 85}{space 4} .4337668{col 98}{space 3} .5687304
{txt}{space 33}var(e.P101){c |}{col 45}{res}{space 2} .5572982{col 57}{space 2} .0309788{col 85}{space 4} .4997714{col 98}{space 3} .6214466
{txt}{space 33}var(e.P103){c |}{col 45}{res}{space 2} .5042926{col 57}{space 2} .0292754{col 85}{space 4} .4500578{col 98}{space 3}  .565063
{txt}{space 30}var(e.ideo301){c |}{col 45}{res}{space 2}  .087113{col 57}{space 2} .0043745{col 85}{space 4} .0789476{col 98}{space 3} .0961229
{txt}{space 16}var(e.ideolissuesfactor1601){c |}{col 45}{res}{space 2} .0259161{col 57}{space 2} .0014806{col 85}{space 4} .0231706{col 98}{space 3} .0289868
{txt}{space 20}var(valu_coopselfreli01){c |}{col 45}{res}{space 2} .1228574{col 57}{space 2} .0055201{col 85}{space 4} .1125009{col 98}{space 3} .1341672
{txt}{space 22}var(valu_knowlfaith01){c |}{col 45}{res}{space 2}  .148535{col 57}{space 2} .0066736{col 85}{space 4} .1360144{col 98}{space 3} .1622082
{txt}{space 20}var(valu_peaceprotect01){c |}{col 45}{res}{space 2} .1520716{col 57}{space 2} .0068228{col 85}{space 4} .1392703{col 98}{space 3} .1660496
{txt}{space 22}var(valu_kinddiscip01){c |}{col 45}{res}{space 2} .1171219{col 57}{space 2}  .005253{col 85}{space 4} .1072657{col 98}{space 3} .1278837
{txt}{space 34}var(white){c |}{col 45}{res}{space 2}  .203344{col 57}{space 2} .0090938{col 85}{space 4} .1862792{col 98}{space 3}  .221972
{txt}{space 33}var(female){c |}{col 45}{res}{space 2}  .248479{col 57}{space 2} .0111123{col 85}{space 4} .2276265{col 98}{space 3} .2712418
{txt}{space 34}var(age01){c |}{col 45}{res}{space 2} .0562751{col 57}{space 2} .0025167{col 85}{space 4} .0515524{col 98}{space 3} .0614303
{txt}{space 33}var(educ01){c |}{col 45}{res}{space 2}  .087254{col 57}{space 2} .0039021{col 85}{space 4} .0799316{col 98}{space 3} .0952472
{txt}{space 31}var(faminc01){c |}{col 45}{res}{space 2} .0399833{col 57}{space 2} .0017881{col 85}{space 4} .0366279{col 98}{space 3} .0436461
{txt}{space 30}var(humnature){c |}{col 45}{res}{space 2} .0870693{col 57}{space 2} .0185478{col 85}{space 4} .0573508{col 98}{space 3} .1321876
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}cov(valu_coopselfreli01,valu_knowlfaith01){c |}{col 45}{res}{space 2} .0041198{col 57}{space 2} .0043083{col 68}{space 1}    0.96{col 77}{space 3}0.339{col 85}{space 4}-.0043242{col 98}{space 3} .0125638
{txt}cov(valu_coopselfreli01,valu_peaceprotect01){c |}{col 45}{res}{space 2} .0406868{col 57}{space 2} .0045404{col 68}{space 1}    8.96{col 77}{space 3}0.000{col 85}{space 4} .0317878{col 98}{space 3} .0495859
{txt}{space 2}cov(valu_coopselfreli01,valu_kinddiscip01){c |}{col 45}{res}{space 2} .0444354{col 57}{space 2} .0040661{col 68}{space 1}   10.93{col 77}{space 3}0.000{col 85}{space 4}  .036466{col 98}{space 3} .0524048
{txt}{space 14}cov(valu_coopselfreli01,white){c |}{col 45}{res}{space 2} .0169736{col 57}{space 2} .0050421{col 68}{space 1}    3.37{col 77}{space 3}0.001{col 85}{space 4} .0070912{col 98}{space 3} .0268559
{txt}{space 13}cov(valu_coopselfreli01,female){c |}{col 45}{res}{space 2}-.0162544{col 57}{space 2}   .00557{col 68}{space 1}   -2.92{col 77}{space 3}0.004{col 85}{space 4}-.0271714{col 98}{space 3}-.0053373
{txt}{space 14}cov(valu_coopselfreli01,age01){c |}{col 45}{res}{space 2} .0116019{col 57}{space 2} .0026641{col 68}{space 1}    4.35{col 77}{space 3}0.000{col 85}{space 4} .0063803{col 98}{space 3} .0168235
{txt}{space 13}cov(valu_coopselfreli01,educ01){c |}{col 45}{res}{space 2} .0063362{col 57}{space 2}  .003297{col 68}{space 1}    1.92{col 77}{space 3}0.055{col 85}{space 4}-.0001258{col 98}{space 3} .0127983
{txt}{space 11}cov(valu_coopselfreli01,faminc01){c |}{col 45}{res}{space 2}  .009281{col 57}{space 2} .0022418{col 68}{space 1}    4.14{col 77}{space 3}0.000{col 85}{space 4} .0048873{col 98}{space 3} .0136748
{txt}{space 10}cov(valu_coopselfreli01,humnature){c |}{col 45}{res}{space 2}-.0361479{col 57}{space 2} .0055633{col 68}{space 1}   -6.50{col 77}{space 3}0.000{col 85}{space 4}-.0470517{col 98}{space 3}-.0252441
{txt}{space 2}cov(valu_knowlfaith01,valu_peaceprotect01){c |}{col 45}{res}{space 2} .0243357{col 57}{space 2} .0048497{col 68}{space 1}    5.02{col 77}{space 3}0.000{col 85}{space 4} .0148306{col 98}{space 3} .0338409
{txt}{space 4}cov(valu_knowlfaith01,valu_kinddiscip01){c |}{col 45}{res}{space 2} .0060489{col 57}{space 2} .0042164{col 68}{space 1}    1.43{col 77}{space 3}0.151{col 85}{space 4}-.0022152{col 98}{space 3} .0143129
{txt}{space 16}cov(valu_knowlfaith01,white){c |}{col 45}{res}{space 2}-.0217066{col 57}{space 2} .0055694{col 68}{space 1}   -3.90{col 77}{space 3}0.000{col 85}{space 4}-.0326224{col 98}{space 3}-.0107908
{txt}{space 15}cov(valu_knowlfaith01,female){c |}{col 45}{res}{space 2} .0236318{col 57}{space 2} .0061469{col 68}{space 1}    3.84{col 77}{space 3}0.000{col 85}{space 4}  .011584{col 98}{space 3} .0356795
{txt}{space 16}cov(valu_knowlfaith01,age01){c |}{col 45}{res}{space 2} .0137374{col 57}{space 2} .0029339{col 68}{space 1}    4.68{col 77}{space 3}0.000{col 85}{space 4} .0079869{col 98}{space 3} .0194878
{txt}{space 15}cov(valu_knowlfaith01,educ01){c |}{col 45}{res}{space 2} -.014113{col 57}{space 2} .0036409{col 68}{space 1}   -3.88{col 77}{space 3}0.000{col 85}{space 4} -.021249{col 98}{space 3}-.0069769
{txt}{space 13}cov(valu_knowlfaith01,faminc01){c |}{col 45}{res}{space 2}-.0054831{col 57}{space 2} .0024471{col 68}{space 1}   -2.24{col 77}{space 3}0.025{col 85}{space 4}-.0102794{col 98}{space 3}-.0006869
{txt}{space 12}cov(valu_knowlfaith01,humnature){c |}{col 45}{res}{space 2}-.0318541{col 57}{space 2} .0054914{col 68}{space 1}   -5.80{col 77}{space 3}0.000{col 85}{space 4} -.042617{col 98}{space 3}-.0210912
{txt}{space 2}cov(valu_peaceprotect01,valu_kinddiscip01){c |}{col 45}{res}{space 2} .0303473{col 57}{space 2} .0043528{col 68}{space 1}    6.97{col 77}{space 3}0.000{col 85}{space 4} .0218159{col 98}{space 3} .0388787
{txt}{space 14}cov(valu_peaceprotect01,white){c |}{col 45}{res}{space 2} .0294468{col 57}{space 2} .0056603{col 68}{space 1}    5.20{col 77}{space 3}0.000{col 85}{space 4} .0183527{col 98}{space 3} .0405408
{txt}{space 13}cov(valu_peaceprotect01,female){c |}{col 45}{res}{space 2}-.0388716{col 57}{space 2} .0062855{col 68}{space 1}   -6.18{col 77}{space 3}0.000{col 85}{space 4} -.051191{col 98}{space 3}-.0265522
{txt}{space 14}cov(valu_peaceprotect01,age01){c |}{col 45}{res}{space 2} .0254231{col 57}{space 2} .0030376{col 68}{space 1}    8.37{col 77}{space 3}0.000{col 85}{space 4} .0194695{col 98}{space 3} .0313767
{txt}{space 13}cov(valu_peaceprotect01,educ01){c |}{col 45}{res}{space 2}-.0039537{col 57}{space 2} .0036518{col 68}{space 1}   -1.08{col 77}{space 3}0.279{col 85}{space 4}-.0111111{col 98}{space 3} .0032038
{txt}{space 11}cov(valu_peaceprotect01,faminc01){c |}{col 45}{res}{space 2} .0098582{col 57}{space 2} .0024898{col 68}{space 1}    3.96{col 77}{space 3}0.000{col 85}{space 4} .0049783{col 98}{space 3} .0147382
{txt}{space 10}cov(valu_peaceprotect01,humnature){c |}{col 45}{res}{space 2}-.0466855{col 57}{space 2} .0065248{col 68}{space 1}   -7.16{col 77}{space 3}0.000{col 85}{space 4} -.059474{col 98}{space 3}-.0338971
{txt}{space 16}cov(valu_kinddiscip01,white){c |}{col 45}{res}{space 2}-.0017648{col 57}{space 2} .0048861{col 68}{space 1}   -0.36{col 77}{space 3}0.718{col 85}{space 4}-.0113415{col 98}{space 3} .0078118
{txt}{space 15}cov(valu_kinddiscip01,female){c |}{col 45}{res}{space 2}-.0228213{col 57}{space 2} .0054588{col 68}{space 1}   -4.18{col 77}{space 3}0.000{col 85}{space 4}-.0335204{col 98}{space 3}-.0121223
{txt}{space 16}cov(valu_kinddiscip01,age01){c |}{col 45}{res}{space 2} .0052286{col 57}{space 2} .0025752{col 68}{space 1}    2.03{col 77}{space 3}0.042{col 85}{space 4} .0001814{col 98}{space 3} .0102758
{txt}{space 15}cov(valu_kinddiscip01,educ01){c |}{col 45}{res}{space 2} .0052393{col 57}{space 2} .0032088{col 68}{space 1}    1.63{col 77}{space 3}0.103{col 85}{space 4}-.0010498{col 98}{space 3} .0115284
{txt}{space 13}cov(valu_kinddiscip01,faminc01){c |}{col 45}{res}{space 2} .0024853{col 57}{space 2} .0021683{col 68}{space 1}    1.15{col 77}{space 3}0.252{col 85}{space 4}-.0017644{col 98}{space 3}  .006735
{txt}{space 12}cov(valu_kinddiscip01,humnature){c |}{col 45}{res}{space 2}-.0259687{col 57}{space 2} .0047717{col 68}{space 1}   -5.44{col 77}{space 3}0.000{col 85}{space 4}-.0353211{col 98}{space 3}-.0166164
{txt}{space 27}cov(white,female){c |}{col 45}{res}{space 2} -.019924{col 57}{space 2} .0071361{col 68}{space 1}   -2.79{col 77}{space 3}0.005{col 85}{space 4}-.0339105{col 98}{space 3}-.0059375
{txt}{space 28}cov(white,age01){c |}{col 45}{res}{space 2}  .029393{col 57}{space 2} .0035082{col 68}{space 1}    8.38{col 77}{space 3}0.000{col 85}{space 4} .0225171{col 98}{space 3} .0362689
{txt}{space 27}cov(white,educ01){c |}{col 45}{res}{space 2}-.0063176{col 57}{space 2} .0042169{col 68}{space 1}   -1.50{col 77}{space 3}0.134{col 85}{space 4}-.0145826{col 98}{space 3} .0019474
{txt}{space 25}cov(white,faminc01){c |}{col 45}{res}{space 2} .0121336{col 57}{space 2} .0028771{col 68}{space 1}    4.22{col 77}{space 3}0.000{col 85}{space 4} .0064946{col 98}{space 3} .0177725
{txt}{space 24}cov(white,humnature){c |}{col 45}{res}{space 2}-.0149897{col 57}{space 2} .0055249{col 68}{space 1}   -2.71{col 77}{space 3}0.007{col 85}{space 4}-.0258182{col 98}{space 3}-.0041612
{txt}{space 27}cov(female,age01){c |}{col 45}{res}{space 2}-.0190801{col 57}{space 2} .0037878{col 68}{space 1}   -5.04{col 77}{space 3}0.000{col 85}{space 4} -.026504{col 98}{space 3}-.0116562
{txt}{space 26}cov(female,educ01){c |}{col 45}{res}{space 2}-.0125254{col 57}{space 2} .0046731{col 68}{space 1}   -2.68{col 77}{space 3}0.007{col 85}{space 4}-.0216845{col 98}{space 3}-.0033663
{txt}{space 24}cov(female,faminc01){c |}{col 45}{res}{space 2}-.0123024{col 57}{space 2} .0031759{col 68}{space 1}   -3.87{col 77}{space 3}0.000{col 85}{space 4}-.0185271{col 98}{space 3}-.0060777
{txt}{space 23}cov(female,humnature){c |}{col 45}{res}{space 2} .0099569{col 57}{space 2} .0057435{col 68}{space 1}    1.73{col 77}{space 3}0.083{col 85}{space 4}-.0013001{col 98}{space 3}  .021214
{txt}{space 27}cov(age01,educ01){c |}{col 45}{res}{space 2}-.0029346{col 57}{space 2} .0022178{col 68}{space 1}   -1.32{col 77}{space 3}0.186{col 85}{space 4}-.0072815{col 98}{space 3} .0014123
{txt}{space 25}cov(age01,faminc01){c |}{col 45}{res}{space 2} .0046607{col 57}{space 2} .0015072{col 68}{space 1}    3.09{col 77}{space 3}0.002{col 85}{space 4} .0017066{col 98}{space 3} .0076149
{txt}{space 24}cov(age01,humnature){c |}{col 45}{res}{space 2}-.0122503{col 57}{space 2} .0030067{col 68}{space 1}   -4.07{col 77}{space 3}0.000{col 85}{space 4}-.0181434{col 98}{space 3}-.0063572
{txt}{space 24}cov(educ01,faminc01){c |}{col 45}{res}{space 2} .0194815{col 57}{space 2} .0019668{col 68}{space 1}    9.91{col 77}{space 3}0.000{col 85}{space 4} .0156267{col 98}{space 3} .0233363
{txt}{space 23}cov(educ01,humnature){c |}{col 45}{res}{space 2} .0057006{col 57}{space 2} .0033799{col 68}{space 1}    1.69{col 77}{space 3}0.092{col 85}{space 4} -.000924{col 98}{space 3} .0123251
{txt}{space 21}cov(faminc01,humnature){c |}{col 45}{res}{space 2} .0026315{col 57}{space 2} .0022919{col 68}{space 1}    1.15{col 77}{space 3}0.251{col 85}{space 4}-.0018606{col 98}{space 3} .0071236
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of model vs. saturated: chi2({res:116}) = {res:   773.09}, Prob > chi2 = {res}0.0000
{txt}
{com}. estat gof, stats(indices)
{res}
{txt}{hline 21}{c TT}{hline 54}
{lalign 21:Fit statistic}{c |}      Value   Description
{hline 21}{c +}{hline 54}
{lalign 21:Baseline comparison}{c |}
{ralign 20:CFI} {c |} {res}{ralign 10:     0.773}{txt}   Comparative fit index
{ralign 20:TLI} {c |} {res}{ralign 10:     0.698}{txt}   Tucker-Lewis index
{hline 21}{c BT}{hline 54}

{com}. 
. *Next, a third alternative that treats all premises and values as part of one big value index:
.  sem (humnature -> P113 P114 P116 prem_p107_wrldiswhatis P108  P109 prem_p106_amerwayfine P101 P103 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01) ( ideo301 ideolissuesfactor1601 <- humnature white female age01 educ01 faminc01), latent (humnature) method (mlmv) nocapslatent
{res}{txt}
Endogenous variables

{p 0 14 2}Observed:{space 5}{res}ideo301 ideolissuesfactor1601{p_end}
{txt}{p 0 14 2}Measurement:{space 2}{res}P113 P114 P116 prem_p107_wrldiswhatis P108 P109 prem_p106_amerwayfine P101 P103 valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01{p_end}
{txt}
Exogenous variables

{p 0 14 2}Observed:{space 5}{res}white female age01 educ01 faminc01{p_end}
{txt}{p 0 14 2}Latent:{space 7}{res}humnature{p_end}
{txt}
Fitting saturated model:

Iteration 0:{space 3}log likelihood = {res: -11673.54}  
Iteration 1:{space 3}log likelihood = {res:-11606.502}  
Iteration 2:{space 3}log likelihood = {res:-11601.491}  
Iteration 3:{space 3}log likelihood = {res:-11601.481}  
Iteration 4:{space 3}log likelihood = {res:-11601.481}  

Fitting baseline model:

Iteration 0:{space 3}log likelihood = {res:-13393.868}  
Iteration 1:{space 3}log likelihood = {res:-13392.266}  
Iteration 2:{space 3}log likelihood = {res:-13392.264}  
{res}{txt}
Fitting conditional model:

Iteration 0:{space 3}log likelihood = {res:-12906.181}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-12572.651}  
Iteration 2:{space 3}log likelihood = {res:-12380.232}  
Iteration 3:{space 3}log likelihood = {res:-12326.607}  
Iteration 4:{space 3}log likelihood = {res:-12268.007}  
Iteration 5:{space 3}log likelihood = {res:-12265.642}  
Iteration 6:{space 3}log likelihood = {res:-12250.488}  
Iteration 7:{space 3}log likelihood = {res: -12250.36}  
Iteration 8:{space 3}log likelihood = {res:-12248.111}  
Iteration 9:{space 3}log likelihood = {res:-12248.069}  
Iteration 10:{space 2}log likelihood = {res:    -12248}  
Iteration 11:{space 2}log likelihood = {res:-12247.999}  
Iteration 12:{space 2}log likelihood = {res:-12247.999}  
{txt}
Fitting target model:

Iteration 0:{space 3}log likelihood = {res:-12247.999}  
Iteration 1:{space 3}log likelihood = {res:-12247.999}  

{col 1}Structural equation model{col 49}Number of obs{col 67}= {res}     1,000
{txt}{col 1}Estimation method{col 20}= {res}mlmv
{txt}{col 1}Log likelihood{col 20}= {res}-12247.999

{p 0 7}{space 1}{text:( 1)}{space 1} [P113]humnature = 1{p_end}
{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}      OIM
{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural                  {col 30}{txt}{c |}
{space 2}{col 3}ideo301                   {col 30}{c |}
{space 23}white {c |}{col 30}{res}{space 2} .0249058{col 42}{space 2} .0253185{col 53}{space 1}    0.98{col 62}{space 3}0.325{col 70}{space 4}-.0247174{col 83}{space 3} .0745291
{txt}{space 22}female {c |}{col 30}{res}{space 2}  .005145{col 42}{space 2} .0220844{col 53}{space 1}    0.23{col 62}{space 3}0.816{col 70}{space 4}-.0381397{col 83}{space 3} .0484297
{txt}{space 23}age01 {c |}{col 30}{res}{space 2} .0001148{col 42}{space 2} .0498046{col 53}{space 1}    0.00{col 62}{space 3}0.998{col 70}{space 4}-.0975003{col 83}{space 3}   .09773
{txt}{space 22}educ01 {c |}{col 30}{res}{space 2}-.0225945{col 42}{space 2} .0385377{col 53}{space 1}   -0.59{col 62}{space 3}0.558{col 70}{space 4}-.0981271{col 83}{space 3} .0529381
{txt}{space 20}faminc01 {c |}{col 30}{res}{space 2} .0443311{col 42}{space 2} .0571338{col 53}{space 1}    0.78{col 62}{space 3}0.438{col 70}{space 4}-.0676491{col 83}{space 3} .1563113
{txt}{space 19}humnature {c |}{col 30}{res}{space 2} -1.18854{col 42}{space 2} .1765126{col 53}{space 1}   -6.73{col 62}{space 3}0.000{col 70}{space 4}-1.534499{col 83}{space 3} -.842582
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .4980241{col 42}{space 2} .0531908{col 53}{space 1}    9.36{col 62}{space 3}0.000{col 70}{space 4}  .393772{col 83}{space 3} .6022763
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}ideolissuesfactor1601     {col 30}{c |}
{space 23}white {c |}{col 30}{res}{space 2} .0604033{col 42}{space 2}  .015414{col 53}{space 1}    3.92{col 62}{space 3}0.000{col 70}{space 4} .0301924{col 83}{space 3} .0906143
{txt}{space 22}female {c |}{col 30}{res}{space 2}-.0308931{col 42}{space 2} .0133857{col 53}{space 1}   -2.31{col 62}{space 3}0.021{col 70}{space 4}-.0571286{col 83}{space 3}-.0046576
{txt}{space 23}age01 {c |}{col 30}{res}{space 2}-.0502902{col 42}{space 2} .0302104{col 53}{space 1}   -1.66{col 62}{space 3}0.096{col 70}{space 4}-.1095015{col 83}{space 3} .0089212
{txt}{space 22}educ01 {c |}{col 30}{res}{space 2} .0142652{col 42}{space 2} .0228113{col 53}{space 1}    0.63{col 62}{space 3}0.532{col 70}{space 4}-.0304442{col 83}{space 3} .0589746
{txt}{space 20}faminc01 {c |}{col 30}{res}{space 2} .0500084{col 42}{space 2} .0342448{col 53}{space 1}    1.46{col 62}{space 3}0.144{col 70}{space 4}-.0171101{col 83}{space 3}  .117127
{txt}{space 19}humnature {c |}{col 30}{res}{space 2}-.9648871{col 42}{space 2} .1411699{col 53}{space 1}   -6.83{col 62}{space 3}0.000{col 70}{space 4}-1.241575{col 83}{space 3}-.6881993
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .4129764{col 42}{space 2} .0330557{col 53}{space 1}   12.49{col 62}{space 3}0.000{col 70}{space 4} .3481885{col 83}{space 3} .4777643
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Measurement                 {col 30}{txt}{c |}
{space 2}{col 3}P113                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}        1{col 42}{txt}  (constrained)
{space 23}_cons {c |}{col 30}{res}{space 2} 2.086019{col 42}{space 2} .0287693{col 53}{space 1}   72.51{col 62}{space 3}0.000{col 70}{space 4} 2.029632{col 83}{space 3} 2.142406
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P114                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.5970382{col 42}{space 2} .1530651{col 53}{space 1}   -3.90{col 62}{space 3}0.000{col 70}{space 4}-.8970404{col 83}{space 3}-.2970361
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 2.999181{col 42}{space 2} .0271101{col 53}{space 1}  110.63{col 62}{space 3}0.000{col 70}{space 4} 2.946046{col 83}{space 3} 3.052315
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P116                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.8047253{col 42}{space 2} .1770926{col 53}{space 1}   -4.54{col 62}{space 3}0.000{col 70}{space 4} -1.15182{col 83}{space 3}-.4576301
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 2.839347{col 42}{space 2} .0295525{col 53}{space 1}   96.08{col 62}{space 3}0.000{col 70}{space 4} 2.781425{col 83}{space 3} 2.897269
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p107_wrldiswhatis    {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2} 1.321493{col 42}{space 2} .2352931{col 53}{space 1}    5.62{col 62}{space 3}0.000{col 70}{space 4} .8603271{col 83}{space 3} 1.782659
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 3.194672{col 42}{space 2} .0304347{col 53}{space 1}  104.97{col 62}{space 3}0.000{col 70}{space 4} 3.135021{col 83}{space 3} 3.254323
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P108                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.8716626{col 42}{space 2} .1886424{col 53}{space 1}   -4.62{col 62}{space 3}0.000{col 70}{space 4}-1.241395{col 83}{space 3}-.5019303
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}  1.93789{col 42}{space 2} .0293924{col 53}{space 1}   65.93{col 62}{space 3}0.000{col 70}{space 4} 1.880282{col 83}{space 3} 1.995498
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P109                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}  2.08176{col 42}{space 2} .3163039{col 53}{space 1}    6.58{col 62}{space 3}0.000{col 70}{space 4} 1.461816{col 83}{space 3} 2.701704
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 2.582543{col 42}{space 2} .0307513{col 53}{space 1}   83.98{col 62}{space 3}0.000{col 70}{space 4} 2.522272{col 83}{space 3} 2.642815
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p106_amerwayfine     {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-3.018906{col 42}{space 2}  .439068{col 53}{space 1}   -6.88{col 62}{space 3}0.000{col 70}{space 4}-3.879463{col 83}{space 3}-2.158348
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 2.847667{col 42}{space 2} .0343827{col 53}{space 1}   82.82{col 62}{space 3}0.000{col 70}{space 4} 2.780279{col 83}{space 3} 2.915056
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P101                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-1.971691{col 42}{space 2} .3015155{col 53}{space 1}   -6.54{col 62}{space 3}0.000{col 70}{space 4} -2.56265{col 83}{space 3}-1.380731
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 3.096223{col 42}{space 2} .0309199{col 53}{space 1}  100.14{col 62}{space 3}0.000{col 70}{space 4} 3.035621{col 83}{space 3} 3.156825
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P103                      {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-2.276988{col 42}{space 2}  .339749{col 53}{space 1}   -6.70{col 62}{space 3}0.000{col 70}{space 4}-2.942883{col 83}{space 3}-1.611092
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} 3.077327{col 42}{space 2} .0306978{col 53}{space 1}  100.25{col 62}{space 3}0.000{col 70}{space 4}  3.01716{col 83}{space 3} 3.137494
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_coopselfreli01       {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.7896562{col 42}{space 2} .1217491{col 53}{space 1}   -6.49{col 62}{space 3}0.000{col 70}{space 4} -1.02828{col 83}{space 3}-.5510323
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}  .511079{col 42}{space 2} .0111312{col 53}{space 1}   45.91{col 62}{space 3}0.000{col 70}{space 4} .4892622{col 83}{space 3} .5328958
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_knowlfaith01         {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.6508416{col 42}{space 2} .1093401{col 53}{space 1}   -5.95{col 62}{space 3}0.000{col 70}{space 4}-.8651441{col 83}{space 3} -.436539
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .4787021{col 42}{space 2} .0122506{col 53}{space 1}   39.08{col 62}{space 3}0.000{col 70}{space 4} .4546914{col 83}{space 3} .5027129
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_peaceprotect01       {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-1.007862{col 42}{space 2} .1532458{col 53}{space 1}   -6.58{col 62}{space 3}0.000{col 70}{space 4}-1.308218{col 83}{space 3}-.7075057
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .5667244{col 42}{space 2} .0123704{col 53}{space 1}   45.81{col 62}{space 3}0.000{col 70}{space 4} .5424789{col 83}{space 3} .5909699
{space 2}{txt}{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_kinddiscip01         {col 30}{c |}
{space 19}humnature {c |}{col 30}{res}{space 2}-.5932023{col 42}{space 2} .0974162{col 53}{space 1}   -6.09{col 62}{space 3}0.000{col 70}{space 4}-.7841345{col 83}{space 3}-.4022701
{txt}{space 23}_cons {c |}{col 30}{res}{space 2} .4125413{col 42}{space 2} .0108576{col 53}{space 1}   38.00{col 62}{space 3}0.000{col 70}{space 4} .3912608{col 83}{space 3} .4338218
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}mean(white){c |}{col 30}{res}{space 2}     .716{col 42}{space 2} .0142599{col 53}{space 1}   50.21{col 62}{space 3}0.000{col 70}{space 4} .6880512{col 83}{space 3} .7439488
{txt}{space 17}mean(female){c |}{col 30}{res}{space 2}    1.539{col 42}{space 2} .0157632{col 53}{space 1}   97.63{col 62}{space 3}0.000{col 70}{space 4} 1.508105{col 83}{space 3} 1.569895
{txt}{space 18}mean(age01){c |}{col 30}{res}{space 2} .4304722{col 42}{space 2} .0075017{col 53}{space 1}   57.38{col 62}{space 3}0.000{col 70}{space 4} .4157692{col 83}{space 3} .4451752
{txt}{space 17}mean(educ01){c |}{col 30}{res}{space 2}    .5186{col 42}{space 2}  .009341{col 53}{space 1}   55.52{col 62}{space 3}0.000{col 70}{space 4}  .500292{col 83}{space 3}  .536908
{txt}{space 15}mean(faminc01){c |}{col 30}{res}{space 2} .3505891{col 42}{space 2} .0063232{col 53}{space 1}   55.44{col 62}{space 3}0.000{col 70}{space 4} .3381958{col 83}{space 3} .3629825
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}var(e.P113){c |}{col 30}{res}{space 2} .6634649{col 42}{space 2} .0325574{col 70}{space 4} .6026261{col 83}{space 3} .7304457
{txt}{space 18}var(e.P114){c |}{col 30}{res}{space 2} .6129508{col 42}{space 2} .0298058{col 70}{space 4}   .55723{col 83}{space 3} .6742435
{txt}{space 18}var(e.P116){c |}{col 30}{res}{space 2} .7227624{col 42}{space 2} .0351381{col 70}{space 4} .6570724{col 83}{space 3} .7950196
{txt}var(e.prem_p107_wrldiswhatis){c |}{col 30}{res}{space 2}  .718138{col 42}{space 2} .0354141{col 70}{space 4} .6519765{col 83}{space 3} .7910134
{txt}{space 18}var(e.P108){c |}{col 30}{res}{space 2}  .708723{col 42}{space 2} .0344726{col 70}{space 4} .6442787{col 83}{space 3} .7796135
{txt}{space 18}var(e.P109){c |}{col 30}{res}{space 2} .6196588{col 42}{space 2} .0320423{col 70}{space 4} .5599347{col 83}{space 3} .6857532
{txt}{space 1}var(e.prem_p106_amerwayfine){c |}{col 30}{res}{space 2} .6140638{col 42}{space 2} .0348478{col 70}{space 4} .5494247{col 83}{space 3} .6863076
{txt}{space 18}var(e.P101){c |}{col 30}{res}{space 2} .6538455{col 42}{space 2} .0335103{col 70}{space 4} .5913575{col 83}{space 3} .7229365
{txt}{space 18}var(e.P103){c |}{col 30}{res}{space 2} .5792001{col 42}{space 2} .0306952{col 70}{space 4} .5220577{col 83}{space 3} .6425971
{txt}{space 3}var(e.valu_coopselfreli01){c |}{col 30}{res}{space 2} .0928134{col 42}{space 2} .0045095{col 70}{space 4} .0843828{col 83}{space 3} .1020864
{txt}{space 5}var(e.valu_knowlfaith01){c |}{col 30}{res}{space 2} .1282152{col 42}{space 2} .0060175{col 70}{space 4} .1169472{col 83}{space 3} .1405688
{txt}{space 3}var(e.valu_peaceprotect01){c |}{col 30}{res}{space 2} .1032379{col 42}{space 2} .0052061{col 70}{space 4} .0935221{col 83}{space 3}  .113963
{txt}{space 5}var(e.valu_kinddiscip01){c |}{col 30}{res}{space 2} .1002277{col 42}{space 2} .0046675{col 70}{space 4} .0914846{col 83}{space 3} .1098063
{txt}{space 15}var(e.ideo301){c |}{col 30}{res}{space 2} .0788311{col 42}{space 2} .0045145{col 70}{space 4} .0704614{col 83}{space 3} .0881949
{txt}{space 1}var(e.ideolissuesfactor1601){c |}{col 30}{res}{space 2} .0190318{col 42}{space 2} .0016277{col 70}{space 4} .0160947{col 83}{space 3}  .022505
{txt}{space 19}var(white){c |}{col 30}{res}{space 2}  .203344{col 42}{space 2} .0090938{col 70}{space 4} .1862792{col 83}{space 3}  .221972
{txt}{space 18}var(female){c |}{col 30}{res}{space 2}  .248479{col 42}{space 2} .0111123{col 70}{space 4} .2276265{col 83}{space 3} .2712418
{txt}{space 19}var(age01){c |}{col 30}{res}{space 2} .0562751{col 42}{space 2} .0025167{col 70}{space 4} .0515524{col 83}{space 3} .0614303
{txt}{space 18}var(educ01){c |}{col 30}{res}{space 2}  .087254{col 42}{space 2} .0039021{col 70}{space 4} .0799316{col 83}{space 3} .0952472
{txt}{space 16}var(faminc01){c |}{col 30}{res}{space 2} .0399833{col 42}{space 2} .0017881{col 70}{space 4} .0366279{col 83}{space 3} .0436461
{txt}{space 15}var(humnature){c |}{col 30}{res}{space 2}  .048121{col 42}{space 2} .0136707{col 70}{space 4} .0275751{col 83}{space 3} .0839755
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}cov(white,female){c |}{col 30}{res}{space 2} -.019924{col 42}{space 2} .0071361{col 53}{space 1}   -2.79{col 62}{space 3}0.005{col 70}{space 4}-.0339105{col 83}{space 3}-.0059375
{txt}{space 13}cov(white,age01){c |}{col 30}{res}{space 2}  .029393{col 42}{space 2} .0035082{col 53}{space 1}    8.38{col 62}{space 3}0.000{col 70}{space 4} .0225171{col 83}{space 3} .0362689
{txt}{space 12}cov(white,educ01){c |}{col 30}{res}{space 2}-.0063176{col 42}{space 2} .0042169{col 53}{space 1}   -1.50{col 62}{space 3}0.134{col 70}{space 4}-.0145826{col 83}{space 3} .0019474
{txt}{space 10}cov(white,faminc01){c |}{col 30}{res}{space 2} .0121336{col 42}{space 2} .0028771{col 53}{space 1}    4.22{col 62}{space 3}0.000{col 70}{space 4} .0064946{col 83}{space 3} .0177725
{txt}{space 9}cov(white,humnature){c |}{col 30}{res}{space 2}-.0137034{col 42}{space 2} .0041829{col 53}{space 1}   -3.28{col 62}{space 3}0.001{col 70}{space 4}-.0219017{col 83}{space 3}-.0055051
{txt}{space 12}cov(female,age01){c |}{col 30}{res}{space 2}-.0190801{col 42}{space 2} .0037878{col 53}{space 1}   -5.04{col 62}{space 3}0.000{col 70}{space 4} -.026504{col 83}{space 3}-.0116562
{txt}{space 11}cov(female,educ01){c |}{col 30}{res}{space 2}-.0125254{col 42}{space 2} .0046731{col 53}{space 1}   -2.68{col 62}{space 3}0.007{col 70}{space 4}-.0216845{col 83}{space 3}-.0033663
{txt}{space 9}cov(female,faminc01){c |}{col 30}{res}{space 2}-.0123024{col 42}{space 2} .0031759{col 53}{space 1}   -3.87{col 62}{space 3}0.000{col 70}{space 4}-.0185271{col 83}{space 3}-.0060777
{txt}{space 8}cov(female,humnature){c |}{col 30}{res}{space 2}  .015414{col 42}{space 2}  .004574{col 53}{space 1}    3.37{col 62}{space 3}0.001{col 70}{space 4} .0064491{col 83}{space 3} .0243788
{txt}{space 12}cov(age01,educ01){c |}{col 30}{res}{space 2}-.0029346{col 42}{space 2} .0022178{col 53}{space 1}   -1.32{col 62}{space 3}0.186{col 70}{space 4}-.0072815{col 83}{space 3} .0014123
{txt}{space 10}cov(age01,faminc01){c |}{col 30}{res}{space 2} .0046607{col 42}{space 2} .0015072{col 53}{space 1}    3.09{col 62}{space 3}0.002{col 70}{space 4} .0017066{col 83}{space 3} .0076149
{txt}{space 9}cov(age01,humnature){c |}{col 30}{res}{space 2}-.0140761{col 42}{space 2} .0027217{col 53}{space 1}   -5.17{col 62}{space 3}0.000{col 70}{space 4}-.0194105{col 83}{space 3}-.0087417
{txt}{space 9}cov(educ01,faminc01){c |}{col 30}{res}{space 2} .0194815{col 42}{space 2} .0019668{col 53}{space 1}    9.91{col 62}{space 3}0.000{col 70}{space 4} .0156267{col 83}{space 3} .0233363
{txt}{space 8}cov(educ01,humnature){c |}{col 30}{res}{space 2} .0030002{col 42}{space 2} .0024364{col 53}{space 1}    1.23{col 62}{space 3}0.218{col 70}{space 4} -.001775{col 83}{space 3} .0077753
{txt}{space 6}cov(faminc01,humnature){c |}{col 30}{res}{space 2}-.0017957{col 42}{space 2} .0016458{col 53}{space 1}   -1.09{col 62}{space 3}0.275{col 70}{space 4}-.0050214{col 83}{space 3} .0014299
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of model vs. saturated: chi2({res:150}) = {res:  1293.04}, Prob > chi2 = {res}0.0000
{txt}
{com}. estat gof, stats(indices)
{res}
{txt}{hline 21}{c TT}{hline 54}
{lalign 21:Fit statistic}{c |}      Value   Description
{hline 21}{c +}{hline 54}
{lalign 21:Baseline comparison}{c |}
{ralign 20:CFI} {c |} {res}{ralign 10:     0.664}{txt}   Comparative fit index
{ralign 20:TLI} {c |} {res}{ralign 10:     0.597}{txt}   Tucker-Lewis index
{hline 21}{c BT}{hline 54}

{com}. 
. * NOW FOR THE FINAL STRUCTURAL EQUATION MODEL IN THE ONLINE APPENDIX, TREATING VALUES AS ENDOGENOUS
. 
.  sem (humnature -> P113, ) (humnature -> P114, ) (humnature -> P116, ) (progress -> prem_p107_wrldiswhatis, ) (progress -> P108, ) (progress -> P109, ) (progress -> P110, ) (societyfragstable -> prem_p106_amerwayfine,) (societyfragstable -> P101, ) (societyfragstable -> P103, ) (valu_coopselfreli01) (valu_knowlfaith01) (valu_peaceprotect01) (valu_kinddiscip01) ( ideo301 ideolissuesfactor1601 <- humnature progress societyfragstable valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 white female age01 educ01 faminc01) (valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 valu_peaceprotect01 <- humnature progress societyfragstable white female age01 educ01 faminc01), latent (humnature progress societyfragstable ) cov( e.valu_knowlfaith01*e.valu_coopselfreli01 e.valu_knowlfaith01*e.valu_peaceprotect01 e.valu_knowlfaith01*e.valu_kinddiscip01 e.valu_coopselfreli01*e.valu_peaceprotect01 e.valu_coopselfreli01*e.valu_kinddiscip01 e.valu_peaceprotect01*e.valu_kinddiscip01 humnature*progress humnature*societyfragstable progress*societyfragstable e.ideo301*e.ideolissuesfactor1601) nocapslatent
{res}{txt}(315 observations with missing values excluded)

Endogenous variables

{p 0 14 2}Observed:{space 5}{res}valu_coopselfreli01 valu_knowlfaith01 valu_peaceprotect01 valu_kinddiscip01 ideo301 ideolissuesfactor1601{p_end}
{txt}{p 0 14 2}Measurement:{space 2}{res}P113 P114 P116 prem_p107_wrldiswhatis P108 P109 P110 prem_p106_amerwayfine P101 P103{p_end}
{txt}
Exogenous variables

{p 0 14 2}Observed:{space 5}{res}white female age01 educ01 faminc01{p_end}
{txt}{p 0 14 2}Latent:{space 7}{res}humnature progress societyfragstable{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log likelihood = {res:-10584.515}  (not concave)
Iteration 1:{space 3}log likelihood = {res:-10521.402}  (not concave)
Iteration 2:{space 3}log likelihood = {res:-10328.145}  (not concave)
Iteration 3:{space 3}log likelihood = {res:-9921.1073}  
Iteration 4:{space 3}log likelihood = {res:-9850.3735}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-9785.0976}  
Iteration 6:{space 3}log likelihood = {res:-9753.3696}  
Iteration 7:{space 3}log likelihood = {res:-9745.1942}  
Iteration 8:{space 3}log likelihood = {res:-9744.7898}  
Iteration 9:{space 3}log likelihood = {res:-9744.7847}  
Iteration 10:{space 2}log likelihood = {res:-9744.7847}  

{col 1}Structural equation model{col 49}Number of obs{col 67}= {res}       685
{txt}{col 1}Estimation method{col 20}= {res}ml
{txt}{col 1}Log likelihood{col 20}= {res}-9744.7847

{p 0 7}{space 1}{text:( 1)}{space 1} [P113]humnature = 1{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} [prem_p107_wrldiswhatis]progress = 1{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} [prem_p106_amerwayfine]societyfragstable = 1{p_end}
{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}      OIM
{col 45}{c |}      Coef.{col 57}   Std. Err.{col 69}      z{col 77}   P>|z|{col 85}     [95% Con{col 98}f. Interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural                                 {col 45}{txt}{c |}
{space 2}{col 3}valu_coopselfreli01                      {col 45}{c |}
{space 38}white {c |}{col 45}{res}{space 2}-.0096496{col 57}{space 2} .0310358{col 68}{space 1}   -0.31{col 77}{space 3}0.756{col 85}{space 4}-.0704787{col 98}{space 3} .0511795
{txt}{space 37}female {c |}{col 45}{res}{space 2} .0219435{col 57}{space 2} .0281418{col 68}{space 1}    0.78{col 77}{space 3}0.436{col 85}{space 4}-.0332133{col 98}{space 3} .0771003
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} .1033462{col 57}{space 2}  .065038{col 68}{space 1}    1.59{col 77}{space 3}0.112{col 85}{space 4} -.024126{col 98}{space 3} .2308183
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} .0310102{col 57}{space 2} .0456131{col 68}{space 1}    0.68{col 77}{space 3}0.497{col 85}{space 4}-.0583899{col 98}{space 3} .1204104
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .1921183{col 57}{space 2} .0684908{col 68}{space 1}    2.81{col 77}{space 3}0.005{col 85}{space 4} .0578787{col 98}{space 3} .3263578
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .0589517{col 57}{space 2} .0489528{col 68}{space 1}    1.20{col 77}{space 3}0.228{col 85}{space 4}-.0369941{col 98}{space 3} .1548975
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.1535538{col 57}{space 2} .0420381{col 68}{space 1}   -3.65{col 77}{space 3}0.000{col 85}{space 4} -.235947{col 98}{space 3}-.0711605
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1124021{col 57}{space 2} .0264076{col 68}{space 1}    4.26{col 77}{space 3}0.000{col 85}{space 4} .0606441{col 98}{space 3}   .16416
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .3669929{col 57}{space 2} .0690357{col 68}{space 1}    5.32{col 77}{space 3}0.000{col 85}{space 4} .2316854{col 98}{space 3} .5023005
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_knowlfaith01                        {col 45}{c |}
{space 38}white {c |}{col 45}{res}{space 2} -.108449{col 57}{space 2} .0335193{col 68}{space 1}   -3.24{col 77}{space 3}0.001{col 85}{space 4}-.1741456{col 98}{space 3}-.0427523
{txt}{space 37}female {c |}{col 45}{res}{space 2} .0875021{col 57}{space 2}  .030355{col 68}{space 1}    2.88{col 77}{space 3}0.004{col 85}{space 4} .0280074{col 98}{space 3} .1469968
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} .1775788{col 57}{space 2} .0704538{col 68}{space 1}    2.52{col 77}{space 3}0.012{col 85}{space 4} .0394918{col 98}{space 3} .3156657
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2}-.1045134{col 57}{space 2} .0492404{col 68}{space 1}   -2.12{col 77}{space 3}0.034{col 85}{space 4}-.2010229{col 98}{space 3} -.008004
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2}-.0221211{col 57}{space 2} .0740097{col 68}{space 1}   -0.30{col 77}{space 3}0.765{col 85}{space 4}-.1671774{col 98}{space 3} .1229352
{txt}{space 34}humnature {c |}{col 45}{res}{space 2}  .126701{col 57}{space 2} .0545428{col 68}{space 1}    2.32{col 77}{space 3}0.020{col 85}{space 4}  .019799{col 98}{space 3}  .233603
{txt}{space 35}progress {c |}{col 45}{res}{space 2} .0078227{col 57}{space 2} .0436292{col 68}{space 1}    0.18{col 77}{space 3}0.858{col 85}{space 4} -.077689{col 98}{space 3} .0933344
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1922987{col 57}{space 2}  .029058{col 68}{space 1}    6.62{col 77}{space 3}0.000{col 85}{space 4} .1353461{col 98}{space 3} .2492513
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .4114992{col 57}{space 2}  .074472{col 68}{space 1}    5.53{col 77}{space 3}0.000{col 85}{space 4} .2655368{col 98}{space 3} .5574617
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_peaceprotect01                      {col 45}{c |}
{space 38}white {c |}{col 45}{res}{space 2} .0226707{col 57}{space 2} .0320006{col 68}{space 1}    0.71{col 77}{space 3}0.479{col 85}{space 4}-.0400494{col 98}{space 3} .0853908
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0734799{col 57}{space 2} .0290366{col 68}{space 1}   -2.53{col 77}{space 3}0.011{col 85}{space 4}-.1303906{col 98}{space 3}-.0165693
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} .2366117{col 57}{space 2} .0673005{col 68}{space 1}    3.52{col 77}{space 3}0.000{col 85}{space 4} .1047051{col 98}{space 3} .3685183
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2}-.0553359{col 57}{space 2} .0470369{col 68}{space 1}   -1.18{col 77}{space 3}0.239{col 85}{space 4}-.1475264{col 98}{space 3} .0368547
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .1147975{col 57}{space 2} .0706677{col 68}{space 1}    1.62{col 77}{space 3}0.104{col 85}{space 4}-.0237085{col 98}{space 3} .2533036
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .1674382{col 57}{space 2} .0524879{col 68}{space 1}    3.19{col 77}{space 3}0.001{col 85}{space 4} .0645639{col 98}{space 3} .2703125
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.1523174{col 57}{space 2} .0442149{col 68}{space 1}   -3.44{col 77}{space 3}0.001{col 85}{space 4}-.2389771{col 98}{space 3}-.0656577
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1712939{col 57}{space 2} .0281114{col 68}{space 1}    6.09{col 77}{space 3}0.000{col 85}{space 4} .1161966{col 98}{space 3} .2263912
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .5721435{col 57}{space 2} .0713152{col 68}{space 1}    8.02{col 77}{space 3}0.000{col 85}{space 4} .4323683{col 98}{space 3} .7119187
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}valu_kinddiscip01                        {col 45}{c |}
{space 38}white {c |}{col 45}{res}{space 2} -.087821{col 57}{space 2} .0308111{col 68}{space 1}   -2.85{col 77}{space 3}0.004{col 85}{space 4}-.1482097{col 98}{space 3}-.0274323
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0206074{col 57}{space 2} .0279609{col 68}{space 1}   -0.74{col 77}{space 3}0.461{col 85}{space 4}-.0754098{col 98}{space 3} .0341949
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} .0817999{col 57}{space 2} .0645884{col 68}{space 1}    1.27{col 77}{space 3}0.205{col 85}{space 4} -.044791{col 98}{space 3} .2083907
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} .0240747{col 57}{space 2} .0453003{col 68}{space 1}    0.53{col 77}{space 3}0.595{col 85}{space 4}-.0647122{col 98}{space 3} .1128616
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2}-.0542867{col 57}{space 2}  .067995{col 68}{space 1}   -0.80{col 77}{space 3}0.425{col 85}{space 4}-.1875544{col 98}{space 3} .0789811
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .0486891{col 57}{space 2} .0480476{col 68}{space 1}    1.01{col 77}{space 3}0.311{col 85}{space 4}-.0454825{col 98}{space 3} .1428607
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.1737358{col 57}{space 2}  .043195{col 68}{space 1}   -4.02{col 77}{space 3}0.000{col 85}{space 4}-.2583965{col 98}{space 3}-.0890751
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .0430304{col 57}{space 2} .0258687{col 68}{space 1}    1.66{col 77}{space 3}0.096{col 85}{space 4}-.0076713{col 98}{space 3} .0937321
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .4888965{col 57}{space 2} .0686032{col 68}{space 1}    7.13{col 77}{space 3}0.000{col 85}{space 4} .3544367{col 98}{space 3} .6233562
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}ideo301                                  {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2}  .143348{col 57}{space 2} .0383993{col 68}{space 1}    3.73{col 77}{space 3}0.000{col 85}{space 4} .0680868{col 98}{space 3} .2186093
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .2918074{col 57}{space 2} .0344923{col 68}{space 1}    8.46{col 77}{space 3}0.000{col 85}{space 4} .2242038{col 98}{space 3} .3594111
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .1484072{col 57}{space 2} .0377414{col 68}{space 1}    3.93{col 77}{space 3}0.000{col 85}{space 4} .0744354{col 98}{space 3}  .222379
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2} .1099923{col 57}{space 2} .0381968{col 68}{space 1}    2.88{col 77}{space 3}0.004{col 85}{space 4} .0351279{col 98}{space 3} .1848567
{txt}{space 38}white {c |}{col 45}{res}{space 2} .0624477{col 57}{space 2} .0284989{col 68}{space 1}    2.19{col 77}{space 3}0.028{col 85}{space 4} .0065908{col 98}{space 3} .1183046
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0145712{col 57}{space 2}  .025595{col 68}{space 1}   -0.57{col 77}{space 3}0.569{col 85}{space 4}-.0647364{col 98}{space 3}  .035594
{txt}{space 38}age01 {c |}{col 45}{res}{space 2} -.043528{col 57}{space 2} .0591269{col 68}{space 1}   -0.74{col 77}{space 3}0.462{col 85}{space 4}-.1594145{col 98}{space 3} .0723585
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} .0046012{col 57}{space 2} .0413559{col 68}{space 1}    0.11{col 77}{space 3}0.911{col 85}{space 4}-.0764549{col 98}{space 3} .0856574
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2}-.0516503{col 57}{space 2} .0624701{col 68}{space 1}   -0.83{col 77}{space 3}0.408{col 85}{space 4}-.1740895{col 98}{space 3} .0707888
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .0973741{col 57}{space 2} .0473898{col 68}{space 1}    2.05{col 77}{space 3}0.040{col 85}{space 4} .0044918{col 98}{space 3} .1902564
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.1030252{col 57}{space 2} .0403178{col 68}{space 1}   -2.56{col 77}{space 3}0.011{col 85}{space 4}-.1820465{col 98}{space 3}-.0240038
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .1091313{col 57}{space 2} .0274661{col 68}{space 1}    3.97{col 77}{space 3}0.000{col 85}{space 4} .0552987{col 98}{space 3} .1629639
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .2070038{col 57}{space 2} .0699552{col 68}{space 1}    2.96{col 77}{space 3}0.003{col 85}{space 4}  .069894{col 98}{space 3} .3441135
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}ideolissuesfactor1601                    {col 45}{c |}
{space 24}valu_coopselfreli01 {c |}{col 45}{res}{space 2} .1441465{col 57}{space 2} .0224428{col 68}{space 1}    6.42{col 77}{space 3}0.000{col 85}{space 4} .1001594{col 98}{space 3} .1881337
{txt}{space 26}valu_knowlfaith01 {c |}{col 45}{res}{space 2} .1244644{col 57}{space 2} .0201331{col 68}{space 1}    6.18{col 77}{space 3}0.000{col 85}{space 4} .0850042{col 98}{space 3} .1639247
{txt}{space 24}valu_peaceprotect01 {c |}{col 45}{res}{space 2} .1343494{col 57}{space 2} .0221703{col 68}{space 1}    6.06{col 77}{space 3}0.000{col 85}{space 4} .0908963{col 98}{space 3} .1778024
{txt}{space 26}valu_kinddiscip01 {c |}{col 45}{res}{space 2} .0436896{col 57}{space 2} .0223095{col 68}{space 1}    1.96{col 77}{space 3}0.050{col 85}{space 4}-.0000363{col 98}{space 3} .0874155
{txt}{space 38}white {c |}{col 45}{res}{space 2}  .074164{col 57}{space 2} .0166228{col 68}{space 1}    4.46{col 77}{space 3}0.000{col 85}{space 4} .0415839{col 98}{space 3} .1067442
{txt}{space 37}female {c |}{col 45}{res}{space 2}-.0170876{col 57}{space 2} .0149809{col 68}{space 1}   -1.14{col 77}{space 3}0.254{col 85}{space 4}-.0464497{col 98}{space 3} .0122746
{txt}{space 38}age01 {c |}{col 45}{res}{space 2}-.0144866{col 57}{space 2} .0347559{col 68}{space 1}   -0.42{col 77}{space 3}0.677{col 85}{space 4} -.082607{col 98}{space 3} .0536338
{txt}{space 37}educ01 {c |}{col 45}{res}{space 2} .0041535{col 57}{space 2} .0241511{col 68}{space 1}    0.17{col 77}{space 3}0.863{col 85}{space 4}-.0431817{col 98}{space 3} .0514888
{txt}{space 35}faminc01 {c |}{col 45}{res}{space 2} .0017909{col 57}{space 2} .0363857{col 68}{space 1}    0.05{col 77}{space 3}0.961{col 85}{space 4}-.0695236{col 98}{space 3} .0731055
{txt}{space 34}humnature {c |}{col 45}{res}{space 2} .0807368{col 57}{space 2} .0282923{col 68}{space 1}    2.85{col 77}{space 3}0.004{col 85}{space 4} .0252849{col 98}{space 3} .1361888
{txt}{space 35}progress {c |}{col 45}{res}{space 2}-.1423106{col 57}{space 2} .0268403{col 68}{space 1}   -5.30{col 77}{space 3}0.000{col 85}{space 4}-.1949166{col 98}{space 3}-.0897046
{txt}{space 26}societyfragstable {c |}{col 45}{res}{space 2} .0902733{col 57}{space 2} .0168099{col 68}{space 1}    5.37{col 77}{space 3}0.000{col 85}{space 4} .0573265{col 98}{space 3} .1232202
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} .1694092{col 57}{space 2} .0410931{col 68}{space 1}    4.12{col 77}{space 3}0.000{col 85}{space 4} .0888682{col 98}{space 3} .2499501
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Measurement                                {col 45}{txt}{c |}
{space 2}{col 3}P113                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 2.056934{col 57}{space 2} .0318607{col 68}{space 1}   64.56{col 77}{space 3}0.000{col 85}{space 4} 1.994488{col 98}{space 3}  2.11938
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P114                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-1.330327{col 57}{space 2} .1528868{col 68}{space 1}   -8.70{col 77}{space 3}0.000{col 85}{space 4} -1.62998{col 98}{space 3}-1.030674
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.035036{col 57}{space 2} .0292989{col 68}{space 1}  103.59{col 77}{space 3}0.000{col 85}{space 4} 2.977612{col 98}{space 3} 3.092461
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P116                                     {col 45}{c |}
{space 34}humnature {c |}{col 45}{res}{space 2}-1.372453{col 57}{space 2} .1502204{col 68}{space 1}   -9.14{col 77}{space 3}0.000{col 85}{space 4} -1.66688{col 98}{space 3}-1.078026
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.835036{col 57}{space 2} .0327643{col 68}{space 1}   86.53{col 77}{space 3}0.000{col 85}{space 4}  2.77082{col 98}{space 3} 2.899253
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p107_wrldiswhatis                   {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 3.205839{col 57}{space 2} .0335924{col 68}{space 1}   95.43{col 77}{space 3}0.000{col 85}{space 4}     3.14{col 98}{space 3} 3.271679
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P108                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2}-.7171496{col 57}{space 2} .0760561{col 68}{space 1}   -9.43{col 77}{space 3}0.000{col 85}{space 4}-.8662168{col 98}{space 3}-.5680824
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 1.956204{col 57}{space 2} .0331058{col 68}{space 1}   59.09{col 77}{space 3}0.000{col 85}{space 4} 1.891318{col 98}{space 3} 2.021091
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P109                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2}  .953024{col 57}{space 2} .1147037{col 68}{space 1}    8.31{col 77}{space 3}0.000{col 85}{space 4} .7282089{col 98}{space 3} 1.177839
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.579562{col 57}{space 2} .0347794{col 68}{space 1}   74.17{col 77}{space 3}0.000{col 85}{space 4} 2.511396{col 98}{space 3} 2.647729
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P110                                     {col 45}{c |}
{space 35}progress {c |}{col 45}{res}{space 2} .6790947{col 57}{space 2} .0776666{col 68}{space 1}    8.74{col 77}{space 3}0.000{col 85}{space 4}  .526871{col 98}{space 3} .8313184
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 2.532847{col 57}{space 2} .0336323{col 68}{space 1}   75.31{col 77}{space 3}0.000{col 85}{space 4} 2.466929{col 98}{space 3} 2.598765
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}prem_p106_amerwayfine                    {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2}        1{col 57}{txt}  (constrained)
{space 38}_cons {c |}{col 45}{res}{space 2} 2.859854{col 57}{space 2} .0387643{col 68}{space 1}   73.78{col 77}{space 3}0.000{col 85}{space 4} 2.783877{col 98}{space 3} 2.935831
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P101                                     {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2} .6655826{col 57}{space 2} .0464609{col 68}{space 1}   14.33{col 77}{space 3}0.000{col 85}{space 4} .5745209{col 98}{space 3} .7566442
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.128467{col 57}{space 2} .0351273{col 68}{space 1}   89.06{col 77}{space 3}0.000{col 85}{space 4} 3.059619{col 98}{space 3} 3.197315
{space 2}{txt}{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}P103                                     {col 45}{c |}
{space 26}societyfragstable {c |}{col 45}{res}{space 2} .7186373{col 57}{space 2} .0452583{col 68}{space 1}   15.88{col 77}{space 3}0.000{col 85}{space 4} .6299327{col 98}{space 3}  .807342
{txt}{space 38}_cons {c |}{col 45}{res}{space 2} 3.106569{col 57}{space 2} .0345745{col 68}{space 1}   89.85{col 77}{space 3}0.000{col 85}{space 4} 3.038805{col 98}{space 3} 3.174334
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 33}var(e.P113){c |}{col 45}{res}{space 2} .5327603{col 57}{space 2} .0342166{col 85}{space 4} .4697463{col 98}{space 3} .6042274
{txt}{space 33}var(e.P114){c |}{col 45}{res}{space 2} .3002785{col 57}{space 2} .0305565{col 85}{space 4} .2459832{col 98}{space 3} .3665582
{txt}{space 33}var(e.P116){c |}{col 45}{res}{space 2}  .429094{col 57}{space 2} .0358369{col 85}{space 4} .3643025{col 98}{space 3} .5054087
{txt}{space 15}var(e.prem_p107_wrldiswhatis){c |}{col 45}{res}{space 2} .4779002{col 57}{space 2} .0412487{col 85}{space 4} .4035228{col 98}{space 3}  .565987
{txt}{space 33}var(e.P108){c |}{col 45}{res}{space 2} .5989911{col 57}{space 2} .0378636{col 85}{space 4} .5291928{col 98}{space 3} .6779954
{txt}{space 33}var(e.P109){c |}{col 45}{res}{space 2} .5605676{col 57}{space 2} .0436592{col 85}{space 4} .4812082{col 98}{space 3} .6530147
{txt}{space 33}var(e.P110){c |}{col 45}{res}{space 2} .6387402{col 57}{space 2} .0389376{col 85}{space 4} .5668067{col 98}{space 3} .7198028
{txt}{space 16}var(e.prem_p106_amerwayfine){c |}{col 45}{res}{space 2}  .360192{col 57}{space 2} .0373228{col 85}{space 4} .2939905{col 98}{space 3}  .441301
{txt}{space 33}var(e.P101){c |}{col 45}{res}{space 2} .5488102{col 57}{space 2} .0345711{col 85}{space 4} .4850681{col 98}{space 3} .6209287
{txt}{space 33}var(e.P103){c |}{col 45}{res}{space 2} .4732775{col 57}{space 2} .0314547{col 85}{space 4} .4154739{col 98}{space 3} .5391232
{txt}{space 18}var(e.valu_coopselfreli01){c |}{col 45}{res}{space 2}  .102488{col 57}{space 2} .0059477{col 85}{space 4} .0914692{col 98}{space 3} .1148342
{txt}{space 20}var(e.valu_knowlfaith01){c |}{col 45}{res}{space 2} .1191148{col 57}{space 2} .0069511{col 85}{space 4} .1062412{col 98}{space 3} .1335484
{txt}{space 18}var(e.valu_peaceprotect01){c |}{col 45}{res}{space 2} .1038952{col 57}{space 2} .0063392{col 85}{space 4} .0921848{col 98}{space 3} .1170931
{txt}{space 20}var(e.valu_kinddiscip01){c |}{col 45}{res}{space 2} .1020795{col 57}{space 2} .0058601{col 85}{space 4} .0912164{col 98}{space 3} .1142362
{txt}{space 30}var(e.ideo301){c |}{col 45}{res}{space 2} .0843405{col 57}{space 2} .0048502{col 85}{space 4} .0753505{col 98}{space 3} .0944031
{txt}{space 16}var(e.ideolissuesfactor1601){c |}{col 45}{res}{space 2} .0242708{col 57}{space 2} .0016526{col 85}{space 4} .0212387{col 98}{space 3} .0277359
{txt}{space 30}var(humnature){c |}{col 45}{res}{space 2} .1661879{col 57}{space 2} .0306541{col 85}{space 4} .1157688{col 98}{space 3} .2385655
{txt}{space 31}var(progress){c |}{col 45}{res}{space 2} .3133065{col 57}{space 2} .0468465{col 85}{space 4} .2337198{col 98}{space 3} .4199944
{txt}{space 22}var(societyfragstable){c |}{col 45}{res}{space 2}  .720897{col 57}{space 2} .0635609{col 85}{space 4} .6064897{col 98}{space 3} .8568859
{txt}{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}cov(e.valu_coopselfreli01,{c |}
{space 24}e.valu_knowlfaith01){c |}{col 45}{res}{space 2}-.0013019{col 57}{space 2}  .004551{col 68}{space 1}   -0.29{col 77}{space 3}0.775{col 85}{space 4}-.0102216{col 98}{space 3} .0076178
{txt}{space 18}cov(e.valu_coopselfreli01,{c |}
{space 22}e.valu_peaceprotect01){c |}{col 45}{res}{space 2} .0134119{col 57}{space 2} .0044337{col 68}{space 1}    3.03{col 77}{space 3}0.002{col 85}{space 4} .0047221{col 98}{space 3} .0221017
{txt}{space 18}cov(e.valu_coopselfreli01,{c |}
{space 24}e.valu_kinddiscip01){c |}{col 45}{res}{space 2} .0306258{col 57}{space 2} .0044071{col 68}{space 1}    6.95{col 77}{space 3}0.000{col 85}{space 4}  .021988{col 98}{space 3} .0392636
{txt}{space 20}cov(e.valu_knowlfaith01,{c |}
{space 22}e.valu_peaceprotect01){c |}{col 45}{res}{space 2} .0078568{col 57}{space 2} .0047433{col 68}{space 1}    1.66{col 77}{space 3}0.098{col 85}{space 4}  -.00144{col 98}{space 3} .0171536
{txt}cov(e.valu_knowlfaith01,e.valu_kinddiscip01){c |}{col 45}{res}{space 2} .0015571{col 57}{space 2}   .00451{col 68}{space 1}    0.35{col 77}{space 3}0.730{col 85}{space 4}-.0072823{col 98}{space 3} .0103965
{txt}{space 18}cov(e.valu_peaceprotect01,{c |}
{space 24}e.valu_kinddiscip01){c |}{col 45}{res}{space 2} .0095375{col 57}{space 2} .0043546{col 68}{space 1}    2.19{col 77}{space 3}0.029{col 85}{space 4} .0010026{col 98}{space 3} .0180724
{txt}{space 6}cov(e.ideo301,e.ideolissuesfactor1601){c |}{col 45}{res}{space 2} .0153035{col 57}{space 2}  .002155{col 68}{space 1}    7.10{col 77}{space 3}0.000{col 85}{space 4} .0110797{col 98}{space 3} .0195273
{txt}{space 24}cov(white,humnature){c |}{col 45}{res}{space 2} .0024819{col 57}{space 2} .0080833{col 68}{space 1}    0.31{col 77}{space 3}0.759{col 85}{space 4}-.0133611{col 98}{space 3} .0183248
{txt}{space 25}cov(white,progress){c |}{col 45}{res}{space 2}-.0153481{col 57}{space 2} .0115563{col 68}{space 1}   -1.33{col 77}{space 3}0.184{col 85}{space 4}-.0379981{col 98}{space 3} .0073019
{txt}{space 16}cov(white,societyfragstable){c |}{col 45}{res}{space 2} .0352407{col 57}{space 2}  .015448{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0049631{col 98}{space 3} .0655183
{txt}{space 23}cov(female,humnature){c |}{col 45}{res}{space 2}-.0083102{col 57}{space 2} .0095015{col 68}{space 1}   -0.87{col 77}{space 3}0.382{col 85}{space 4}-.0269327{col 98}{space 3} .0103123
{txt}{space 24}cov(female,progress){c |}{col 45}{res}{space 2}   .06143{col 57}{space 2} .0141403{col 68}{space 1}    4.34{col 77}{space 3}0.000{col 85}{space 4} .0337155{col 98}{space 3} .0891445
{txt}{space 15}cov(female,societyfragstable){c |}{col 45}{res}{space 2}-.0213705{col 57}{space 2} .0179651{col 68}{space 1}   -1.19{col 77}{space 3}0.234{col 85}{space 4}-.0565814{col 98}{space 3} .0138405
{txt}{space 24}cov(age01,humnature){c |}{col 45}{res}{space 2} .0092298{col 57}{space 2} .0045013{col 68}{space 1}    2.05{col 77}{space 3}0.040{col 85}{space 4} .0004075{col 98}{space 3} .0180522
{txt}{space 25}cov(age01,progress){c |}{col 45}{res}{space 2} .0045547{col 57}{space 2} .0062498{col 68}{space 1}    0.73{col 77}{space 3}0.466{col 85}{space 4}-.0076946{col 98}{space 3} .0168041
{txt}{space 16}cov(age01,societyfragstable){c |}{col 45}{res}{space 2} .0489887{col 57}{space 2} .0084984{col 68}{space 1}    5.76{col 77}{space 3}0.000{col 85}{space 4} .0323322{col 98}{space 3} .0656451
{txt}{space 23}cov(educ01,humnature){c |}{col 45}{res}{space 2} .0038031{col 57}{space 2} .0056597{col 68}{space 1}    0.67{col 77}{space 3}0.502{col 85}{space 4}-.0072898{col 98}{space 3} .0148959
{txt}{space 24}cov(educ01,progress){c |}{col 45}{res}{space 2}-.0010943{col 57}{space 2}  .008103{col 68}{space 1}   -0.14{col 77}{space 3}0.893{col 85}{space 4} -.016976{col 98}{space 3} .0147873
{txt}{space 15}cov(educ01,societyfragstable){c |}{col 45}{res}{space 2}-.0221964{col 57}{space 2} .0106781{col 68}{space 1}   -2.08{col 77}{space 3}0.038{col 85}{space 4} -.043125{col 98}{space 3}-.0012677
{txt}{space 21}cov(faminc01,humnature){c |}{col 45}{res}{space 2} .0095058{col 57}{space 2} .0039521{col 68}{space 1}    2.41{col 77}{space 3}0.016{col 85}{space 4} .0017598{col 98}{space 3} .0172518
{txt}{space 22}cov(faminc01,progress){c |}{col 45}{res}{space 2}-.0021531{col 57}{space 2} .0054552{col 68}{space 1}   -0.39{col 77}{space 3}0.693{col 85}{space 4} -.012845{col 98}{space 3} .0085388
{txt}{space 13}cov(faminc01,societyfragstable){c |}{col 45}{res}{space 2}-.0094248{col 57}{space 2} .0072212{col 68}{space 1}   -1.31{col 77}{space 3}0.192{col 85}{space 4} -.023578{col 98}{space 3} .0047285
{txt}{space 21}cov(humnature,progress){c |}{col 45}{res}{space 2} .0865536{col 57}{space 2} .0161234{col 68}{space 1}    5.37{col 77}{space 3}0.000{col 85}{space 4} .0549523{col 98}{space 3}  .118155
{txt}{space 12}cov(humnature,societyfragstable){c |}{col 45}{res}{space 2}-.1477046{col 57}{space 2}  .024214{col 68}{space 1}   -6.10{col 77}{space 3}0.000{col 85}{space 4}-.1951632{col 98}{space 3} -.100246
{txt}{space 13}cov(progress,societyfragstable){c |}{col 45}{res}{space 2}  -.23362{col 57}{space 2} .0299578{col 68}{space 1}   -7.80{col 77}{space 3}0.000{col 85}{space 4}-.2923361{col 98}{space 3}-.1749039
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
LR test of model vs. saturated: chi2({res:109}) = {res:   299.09}, Prob > chi2 = {res}0.0000
{txt}
{com}. estat gof, stats(indices) 
{res}
{txt}{hline 21}{c TT}{hline 54}
{lalign 21:Fit statistic}{c |}      Value   Description
{hline 21}{c +}{hline 54}
{lalign 21:Baseline comparison}{c |}
{ralign 20:CFI} {c |} {res}{ralign 10:     0.938}{txt}   Comparative fit index
{ralign 20:TLI} {c |} {res}{ralign 10:     0.887}{txt}   Tucker-Lewis index
{hline 21}{c BT}{hline 54}

{com}.  
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{txt}end of do-file

{com}. drop ideoissuefactr1601imputedrep

. save "/Users/davidbarker/Google Drive/Research/Facts and Premises/premises BJPOLS 2014 harvard dataverse.dta", replace
{txt}file /Users/davidbarker/Google Drive/Research/Facts and Premises/premises BJPOLS 2014 harvard dataverse.dta saved

{com}. log off
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/davidbarker/Google Drive/Research/Facts and Premises/Premises BJPOLS Dataverse Study 1 2014 data 7 2020.smcl
  {txt}log type:  {res}smcl
 {txt}paused on:  {res} 8 Jul 2020, 07:07:45
{txt}{.-}
{smcl}
{txt}{sf}{ul off}